Archives

Archives

Issue 1, Volume 8, 2024

Research Article

Relaxed doubly robust estimation in causal inference

Tinghui Xu ,
Jiwei Zhao
dol:10.1080/24754269.2024.2313826
Abstract Full Text PDF More Citation

Verifiable identification condition for nonignorable nonresponse data with categorical instrumental variables

Kenji Beppu ,
Kosuke Morikawa
dol:10.1080/24754269.2023.2300407
Abstract Full Text PDF More Citation

Multiply robust estimation for average treatment effect among treated

Lu Wang ,
Peisong Han
dol:10.1080/24754269.2023.2293554
Abstract Full Text PDF More Citation

FragmGAN: generative adversarial nets for fragmentary data imputation and prediction

Fang Fang ,
Shenliao Bao
dol:10.1080/24754269.2023.2272554
Abstract Full Text PDF More Citation

Robust analyzes for longitudinal clinical trials with missing and non-normal continuous outcomes

Siyi Liu ,
Yilong Zhang ,
Gregory T. Golm ,
Guanghan(Frank) Liu ,
Shu Yang
dol:10.1080/24754269.2023.2261351
Abstract Full Text PDF More Citation

Kernel regression utilizing heterogeneous datasets

Chi-Shian Dai ,
Jun Shao
dol:10.1080/24754269.2023.2202579
Abstract Full Text PDF More Citation

Issue 4, Volume 7, 2023

Research Article

Bayesian-inspired minimum contamination designs under a double-pair conditional effect model

Ming-Chung Chang
dol:10.1080/24754269.2023.2250237
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Compression schemes for concept classes induced by three types of discrete undirected graphical models

Tingting Luo ,
Benchong Li
dol:10.1080/24754269.2023.2260046
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Autoregressive moving average model for matrix time series

Shujin Wu ,
Ping Bi
dol:10.1080/24754269.2023.2262360
Abstract Full Text PDF More Citation

Log-rank and stratified log-rank tests

Ting Ye ,
Jun Shao ,
Yanyao Yi
dol:10.1080/24754269.2023.2263720
Abstract Full Text PDF More Citation

The study on systemic risk of rural finance based on macro–micro big data and machine learning

Wanling Zhou ,
Sulin Pang ,
Zhiliang He
dol:10.1080/24754269.2023.2238975
Abstract Full Text PDF More Citation

Single-arm phase II three-outcome designs with handling of over-running/under-running

Wenchuan Guo ,
Jianan Hui ,
Bob Zhong
dol:10.1080/24754269.2023.2189348
Abstract Full Text PDF More Citation

Applications of Burr III- Weibull quantile function in reliability analysis

G. S. Deepthy ,
Nicy Sebastian ,
N. Chandra
dol:10.1080/24754269.2023.2201096
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Issue 3, Volume 7, 2023

Research Article

Bayesian autoregressive adaptive refined descriptive sampling algorithm in the Monte Carlo simulation

Djoweyda Ghouil ,
Megdouda Ourbih-Tari
dol:doi.org/10.1080/24754269.2023.2180225
Abstract Full Text PDF More Citation

A distribution-free test of independence based on a modified mean variance index

Weidong Ma ,
Fei Ye ,
Jingsong Xiao ,
Ying Yang
dol:10.1080/24754269.2023.2201101
Abstract Full Text PDF More Citation

Evaluation of the Canadian government policies on controlling the COVID-19 outbreaks

Mengyao Chen ,
Yuehua Wu ,
Baisuo Jin
dol:10.1080/24754269.2023.2201108
Abstract Full Text PDF More Citation

How to implement the ‘one patient, one vote’ principle under the framework of estimand

Naitee Ting
dol:10.1080/24754269.2023.2164943
Abstract Full Text PDF More Citation

Dimension reduction with expectation of conditional difference measure

Wenhui Sheng ,
Qingcong Yuan
dol:10.1080/24754269.2023.2182136
Abstract Full Text PDF More Citation

MLE with datasets from populations having shared parameters

Jun Shao ,
Xinyan Wang
dol:10.1080/24754269.2023.2180185
Abstract Full Text PDF More Citation

Issue 2, Volume 7, 2023

Research Article

Robust variance estimation for covariate-adjusted unconditional treatment effect in randomized clinical trials with binary outcomes

Ting Ye ,
Marlena Bannick ,
Yanyao Yi ,
Jun Shao
dol:10.1080/24754269.2023.2205802
Abstract Full Text PDF More Citation

On the construction of balanced repeated measurements designs with good circular properties

Muhammad Daniyal ,
Jigneshkumar Gondaliya ,
Rashid Ahmed
dol:10.1080/24754269.2023.2184607
Abstract Full Text PDF More Citation

On some aspects of a bivariate alternative zero-inflated logarithmic series distribution

C. Satheesh Kumar ,
A. Riyaz
dol:10.1080/24754269.2023.2179324
Abstract Full Text PDF More Citation

On the MLE of the Waring distribution

Yanlin Tang ,
Jinglong Wang ,
Zhongyi Zhu
dol:10.1080/24754269.2023.2176608
Abstract Full Text PDF More Citation

Regression models of Pearson correlation coefficient

Abdisa G. Dufera ,
Tiantian Liu ,
Jin Xu
dol:10.1080/24754269.2023.2164970
Abstract Full Text PDF More Citation

Locally R-optimal designs for a class of nonlinear multiple regression models

Lei He ,
Rong-Xian Yue
dol:10.1080/24754269.2022.2153540
Abstract Full Text PDF More Citation

Availability and cost-benefit evaluation for a repairable retrial system with warm standbys and priority

Jia Kang ,
Linmin Hu ,
Rui Peng ,
Yan Li ,
Ruiling Tian
dol:10.1080/24754269.2022.2152591
Abstract Full Text PDF More Citation

Issue 1, Volume 7, 2023

Research Article

A novel nonparametric mixture model for the detection pattern of COVID-19 on Diamond Princess cruise

Huijuan Ma ,
Jing Qin ,
Fang Chen ,
Yong Zhou
dol:10.1080/24754269.2022.2156743
Abstract Full Text PDF More Citation

Rates of convergence of powered order statistics from general error distribution

Yuhan Zou ,
Yingyin Lu ,
Zuoxiang Peng
dol:10.1080/24754269.2022.2146955
Abstract Full Text PDF More Citation

A short note on fitting a single-index model with massive data

Rong Jiang ,
Yexun Peng
dol:10.1080/24754269.2022.2135807
Abstract Full Text PDF More Citation

Application of neural network to model rainfall pattern of Ethiopia

Gemechu Abdisa Atomsa ,
Yingchun Zhou
dol:10.1080/24754269.2022.2136266
Abstract Full Text PDF More Citation

Variable selection in finite mixture of median regression models using skew-normal distribution

Xin Zeng ,
Yuanyuan Ju ,
Liucang Wu
dol:10.1080/24754269.2022.2107974
Abstract Full Text PDF More Citation

Bayesian analysis for the Lomax model using noninformative priors

Daojiang He ,
Dongchu Sun ,
Qing Zhu
dol:10.1080/24754269.2022.2064611
Abstract Full Text PDF More Citation

Issue 4, Volume 6, 2022

Research Article

Bayesian penalized model for classification and selection of functional predictors using longitudinal MRI data from ADNI

Asish Banik ,
Taps Maiti ,
Andrew Bender
dol:10.1080/24754269.2022.2064611
Abstract Full Text PDF More Citation

Model averaging for generalized linear models in fragmentary data prediction

Chaoxia Yuan ,
Yang Wu ,
Fang Fang
dol:10.1080/24754269.2022.2105486
Abstract Full Text PDF More Citation

Posterior propriety of an objective prior for generalized hierarchical normal linear models

Cong Lin ,
Dongchu Sun ,
Chengyuan Song
dol:10.1080/24754269.2021.1978206
Abstract Full Text PDF More Citation

Moderate deviation principle for stochastic reaction-diffusion systems with multiplicative noise and non-Lipschitz reaction

Juan Yang
dol:10.1080/24754269.2021.1963183
Abstract Full Text PDF More Citation

Empirical likelihood inference and goodness-of-fit test for logistic regression model under two-phase case-control sampling

Zhen Sheng ,
Yukun Liu ,
Jing Qin
dol:10.1080/24754269.2021.1946373
Abstract Full Text PDF More Citation

Eight predictive powers with historical and interim data for futility and efficacy analysis

Ying-Ying Zhang ,
Teng-Zhong Rong ,
Man-Man Li
dol:10.1080/24754269.2021.1991557
Abstract Full Text PDF More Citation

Issue 3, Volume 6, 2022

Review Article

A selective review of statistical methods using calibration information from similar studies

Jing Qin ,
Yukun Liu ,
Pengfei Li
dol:10.1080/24754269.2022.2037201
Abstract Full Text PDF More Citation
Short Communication

Rejoinder on “A selective review of statistical methods using calibration information from similar studies”

Jing Qin ,
Yukun Liu ,
Pengfei Li
dol:10.1080/24754269.2022.2111059
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A discussion of ‘A selective review on calibration information from similar studies’

Jiahua Chen
dol:10.1080/24754269.2022.2077903
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Discussion of ‘A selective review of statistical methods using calibration information from similar studies’

Jing Ning
dol:10.1080/24754269.2022.2075082
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Discussion of “A selective review of statistical methods using calibration information from similar studies” and some remarks on data integration

Jerald F. Lawless
dol:10.1080/24754269.2022.2075083
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A discussion on “A selective review of statistical methods using calibration information from similar studies”

Ling Zhou ,
Peter X.-K. Song
dol:doi.org/10.1080/24754269.2022.2084930
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A discussion on “A selective review of statistical methods using calibration information from similar studies” by Qin, Liu and Li

Peisong Han
dol:10.1080/24754269.2022.2084929
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Research Article

A new result on recovery sparse signals using orthogonal matching pursuit

Xueping Chen ,
Jianzhong Liu ,
Jiandong Chen
dol:10.1080/24754269.2022.2048445
Abstract Full Text PDF More Citation

Optimal model averaging estimator for multinomial logit models

Rongjie Jiang ,
Liuming Wang ,
Yang Bai
dol:10.1080/24754269.2022.2037204
Abstract Full Text PDF More Citation

Asymptotic properties of a nonparametric conditional density estimator in the local linear estimation for functional data via a functional single-index model

Fadila Benaissa ,
Abdelmalek Gagui ,
Abdelhak Chouaf
dol:10.1080/24754269.2021.1965945
Abstract Full Text PDF More Citation

Exponential tilted likelihood for stationary time series models

Xiuzhen Zhang ,
Yukun Liu ,
Riquan Zhang ,
Zhiping Lu
dol:10.1080/24754269.2021.1978207
Abstract Full Text PDF More Citation

Variable screening in multivariate linear regression with high-dimensional covariates

Shiferaw B. Bizuayehu ,
Lu Li ,
Jin Xu
dol:10.1080/24754269.2021.1982607
Abstract Full Text PDF More Citation

Issue 2, Volume 6, 2022

Review Article

A review of distributed statistical inference

Yuan Gao ,
Weidong Liu ,
Hansheng Wang ,
Xiaozhou Wang ,
Yibo Yan ,
Riquan Zhang
dol:10.1080/24754269.2021.1974158
Abstract Full Text PDF More Citation
Short Communication

Discussion of the paper ‘A review of distributed statistical inference’

Heng Lian
dol:10.1080/24754269.2021.2017544
Abstract Full Text PDF More Citation

Discussion on ‘A review of distributed statistical inference’

Yang Yu ,
Guang Cheng
dol:10.1080/24754269.2022.2030107
Abstract Full Text PDF More Citation

Discussion of: a review of distributed statistical inference

Zheng-Chu Guo
dol:10.1080/24754269.2021.2022998
Abstract Full Text PDF More Citation

Discussion of: ‘A review of distributed statistical inference’

Shaogao Lv ,
Xingcai Zhou
dol:10.1080/24754269.2021.2015868
Abstract Full Text PDF More Citation

Discussion on the paper “A review of distributed statistical inference”

Junlong Zhao
dol:10.1080/24754269.2021.2015861
Abstract Full Text PDF More Citation

Rejoinder on ‘A review of distributed statistical inference’

Yuan Gao ,
Weidong Liu ,
Hansheng Wang ,
Xiaozhou Wang ,
Yibo Yan ,
Riquan Zhang
dol:10.1080/24754269.2022.2035304
Abstract Full Text PDF More Citation
Research Article

Stochastic loss reserving using individual information model with over-dispersed Poisson

Zhigao Wang ,
Xianyi Wu ,
Chunjuan Qiu
dol:10.1080/24754269.2021.1898181
Abstract Full Text PDF More Citation

Empirical likelihood inference in autoregressive models with time-varying variances

Yu Han ,
Chunming Zhang
dol:10.1080/24754269.2021.1913977
Abstract Full Text PDF More Citation

Time-dependent reliability analysis for repairable consecutive-k-out-of-n:F system

Gökhan Gökdere ,
Hon Keung Tony Ng
dol:10.1080/24754269.2021.1971489
Abstract Full Text PDF More Citation

Generalized fiducial methods for testing quantitative trait locus effects in genetic backcross studies

Pengcheng Ren ,
Guanfu Liu ,
Xiaolong Pu ,
Yan Li
dol:10.1080/24754269.2021.1984636
Abstract Full Text PDF More Citation

High-dimensional proportionality test of two covariance matrices and its application to gene expression data

Long Feng ,
Xiaoxu Zhang ,
Binghui Liu
dol:10.1080/24754269.2021.1984373
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Issue 1, Volume 6, 2022

Articles

Research on three-step accelerated gradient algorithm in deep learning

Yongqiang Lian ,
Yincai Tang ,
Shirong Zhou
dol:10.1080/24754269.2020.1846414
Abstract Full Text PDF More Citation

Nonignorable item nonresponse in panel data

Sijing Li ,
Jun Shao
dol:10.1080/24754269.2020.1856591
Abstract Full Text PDF More Citation

The balance property in neural network modelling

Mario V. Wüthrich
dol:10.1080/24754269.2021.1877960
Abstract Full Text PDF More Citation

Stochastic comparisons on total capacity of weighted k-out-of-n systems with heterogeneous components

Yiying Zhang
dol:10.1080/24754269.2021.1894402
Abstract Full Text PDF More Citation

A new exact p-value approach for testing variance homogeneity

Juan Wang ,
Xinmin Li ,
Hua Liang
dol:10.1080/24754269.2021.1907519
Abstract Full Text PDF More Citation

Posterior contraction rate of sparse latent feature models with application to proteomics

Tong Li ,
Tianjian Zhou ,
Kam-Wah Tsui ,
Lin Wei ,
Yuan Ji
dol:10.1080/24754269.2021.1974664
Abstract Full Text PDF More Citation

Interpreting uninterpretable predictors: kernel methods, Shtarkov solutions, and random forests

T. M. Le ,
Bertrand Clarke
dol:10.1080/24754269.2021.1974157
Abstract Full Text PDF More Citation
Book Review

An introduction to statistical learning with applications in R

Fariha Sohil ,
Muhammad Umair Sohali ,
Javid Shabbir
dol:10.1080/24754269.2021.1980261
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Issue 4, Volume 5, 2021

Articles

Intrinsic Bayesian estimation of linear time series models

Shawn Ni
dol:10.1080/24754269.2020.1744073
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A system for determining maximum tolerated dose in clinical trial

Keying Ye ,
Xiaobin Yang ,
Ying Ji ,
Min Wang
dol:10.1080/24754269.2021.1871708
Abstract Full Text PDF More Citation

Bayesian quantile semiparametric mixed-effects double regression models

Duo Zhang ,
Liucang Wu ,
Keying Ye ,
Min Wang
dol:10.1080/24754269.2021.1877961
Abstract Full Text PDF More Citation

Covariance estimation via fiducial inference

W. Jenny Shi ,
Jan Hannig ,
Randy C. S. Lai ,
Thomas C. M. Lee
dol:10.1080/24754269.2021.1877950
Abstract Full Text PDF More Citation

Bayesian analysis for quantile smoothing spline

Zhongheng Cai ,
Dongchu Sun
dol:10.1080/24754269.2021.1946372
Abstract Full Text PDF More Citation

On the non-local priors for sparsity selection in high-dimensional Gaussian DAG models

Xuan Cao ,
Fang Yang
dol:10.1080/24754269.2021.1963182
Abstract Full Text PDF More Citation

Issue 3, Volume 5, 2021

Editorial Foreword

Editorial Foreword

Jun Shao ,
Yincai Tang
dol:10.1080/24754269.2021.1963398
Abstract Full Text PDF More Citation
Review Article

Inference after covariate-adaptive randomisation: aspects of methodology and theory

Jun Shao
dol:10.1080/24754269.2021.1871873
Abstract Full Text PDF More Citation
Short Communication

Rejoinder on ‘Inference after covariate-adaptive randomization: aspects of methodology and theory

Jun Shao
dol:10.1080/24754269.2021.1905357
Abstract Full Text PDF More Citation

Comment: inference after covariate-adaptive randomisation: aspects of methodology and theory

Ting Ye ,
Yanyao Yi
dol:Global Statistical Sciences, Eli Lilly and Company, Indianapolis, IN, USA
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Comment on ‘Inference after covariate-adaptive randomisation: aspects of methodology and theory’

Hanzhong Liu
dol:10.1080/24754269.2021.1905378
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Comment: Inference after covariate-adaptive randomisation: aspects of methodology and theory

Bingkai Wang ,
Ryoko Susukida ,
Ramin Mojtabai ,
Masoumeh Amin-Esmaeili ,
Michael Rosenblum
dol:10.1080/24754269.2021.1905591
Abstract Full Text PDF More Citation

Comment on ‘Inference after covariate-adaptive randomisation: aspects of methodology and theory’

Wei Ma ,
Li-Xin Zhang ,
Feifang Hu
dol:10.1080/24754269.2021.1905592
Abstract Full Text PDF More Citation
Articles

A three-parameter logistic regression model

Xiaoli Yu ,
Shaoting Li ,
Jiahua Chen
dol:10.1080/24754269.2020.1796098
Abstract Full Text PDF More Citation

Personalized treatment selection via the covariatespecific treatment effect curve for longitudinal data

Yanghui Liu ,
Riquan Zhang ,
Shujie Ma ,
Xiuzhen Zhang
dol:10.1080/24754269.2020.1762059
Abstract Full Text PDF More Citation

New extreme value theory for maxima of maxima

Wenzhi Cao ,
Zhengjun Zhang
dol:10.1080/24754269.2020.1846115
Abstract Full Text PDF More Citation

beta-divergence loss for the kernel density estimation with bias reduced

Hamza Dhaker ,
El Hadji Deme ,
Youssou Ciss
dol:10.1080/24754269.2020.1858630
Abstract Full Text PDF More Citation

An integrated epidemic modelling framework for the real-time forecast of COVID-19 outbreaks in current epicentres

Jiawei Xu ,
Yincai Tang
dol:10.1080/24754269.2021.1872131
Abstract Full Text PDF More Citation

Issue 2, Volume 5, 2021

Statistical Theory and Related Fields, Volume 5, Issue 2 (2021)
Articles in the special topic of experiment design

Articles

Sample size and power analysis for stepped wedge cluster randomised trials with binary outcomes

Jijia Wang ,
Jing Cao ,
Song Zhang ,
Chul Ahn
dol:10.1080/24754269.2021.1904094
Abstract Full Text PDF More Citation

Target toxicity design for phase I dose-finding

Wenchuan Guo ,
Bob Zhong
dol:10.1080/24754269.2020.1800331
Abstract Full Text PDF More Citation

A prediction-oriented optimal design for visualisation recommender systems

Yingyan Zeng ,
Xinwei Deng ,
Xiaoyu Chen ,
Ran Jin
dol:10.1080/24754269.2021.1905376
Abstract Full Text PDF More Citation

Robust sequential design for piecewise-stationary multi-armed bandit problem in the presence of outliers

Yaping Wang ,
Zhicheng Peng ,
Riquan Zhang ,
Qian Xiao
dol:10.1080/24754269.2021.1902687
Abstract Full Text PDF More Citation

Combinatorial testing: using blocking to assign test cases for validating complex software systems

Ryan Lekivetz ,
Joseph Morgan
dol:10.1080/24754269.2021.1904095
Abstract Full Text PDF More Citation

Covariate balancing based on kernel density estimates for controlled experiments

Yiou Li ,
Lulu Kang ,
Xiao Huang
dol:10.1080/24754269.2021.1878742
Abstract Full Text PDF More Citation

Selecting baseline designs using a minimum aberration criterion when some two-factor interactions are important

Anqi Chen ,
Cheng-Yu Sun ,
Boxin Tang
dol:10.1080/24754269.2020.1867795
Abstract Full Text PDF More Citation

D-optimal population designs in linear mixed effects models for multiple longitudinal data

Hongyan Jiang ,
Rongxian Yue
dol:10.1080/24754269.2021.1884444
Abstract Full Text PDF More Citation

Modified non-sequential third order rotatable designs constructed using Pairwise Balanced Design

Haron Mutai Ng’eno
dol:10.1080/24754269.2020.1775034
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Issue 1, Volume 5, 2021

Review Article

On studying extreme values and systematic risks with nonlinear time series models and tail dependence measures

Zhengjun Zhang
dol:10.1080/24754269.2020.1856590
Abstract Full Text PDF More Citation
Short Communication

Rejoinder of “On studying extreme values and systematic risks with nonlinear time series models and tail dependence measures”

Zhengjun Zhang
dol:10.1080/24754269.2021.1871710
Abstract Full Text PDF More Citation

Multivariate extremes and max-stable processes: discussion of the paper by Zhengjun Zhang

R. L. Smith
dol:10.1080/24754269.2021.1871709
Abstract Full Text PDF More Citation

Discussion of ‘On studying extreme values and systematic risks with nonlinear time series models and tail dependence measures’

Tiandong Wang ,
Jun Yan
dol:10.1080/24754269.2020.1869897
Abstract Full Text PDF More Citation

Discussion on paper ‘On studying extreme values and systematic risks with nonlinear time series models and tail dependence measures’ by Zhengjun Zhang

Yongcheng Qi
dol:10.1080/24754269.2020.1862589
Abstract Full Text PDF More Citation

Discussion of ‘On studying extreme values and systematic risks with nonlinear time series models and tail dependence measures’

Ting Zhang
dol:10.1080/24754269.2020.1862587
Abstract Full Text PDF More Citation

Application of autoregressive tail-index model to Chinas stock market

Jingyu Ji ,
Deyuan Li
dol:10.1080/24754269.2020.1862586
Abstract Full Text PDF More Citation

Discussion on “on studying extreme values and systematic risks with nonlinear time series models and tail dependence measures”

Wen Xu ,
Huixia Judy Wang
dol:10.1080/24754269.2021.1895528
Abstract Full Text PDF More Citation
Articles

Bayesian variable selection via a benchmark in normal linear models

Jun Shao ,
Kam-Wah Tsui ,
Sheng Zhang
dol:10.1080/24754269.2020.1744074
Abstract Full Text PDF More Citation

Efficient estimation of smoothing spline with exact shape constraints

Vincent Chan ,
Kam-Wah Tsui ,
Yanran Wei ,
Zhiyang Zhang ,
Xinwei Deng
dol:10.1080/24754269.2020.1722604
Abstract Full Text PDF More Citation

Nonlinear prediction via Hermite transformation

Tucker McElroy ,
Srinjoy Das
dol:10.1080/24754269.2020.1856589
Abstract Full Text PDF More Citation

Issue 2, Volume 4, 2020

Statistical Theory and Related Fields, Volume 4, Issue 2 (2020)

Review Article

A selective overview of sparse sufficient dimension reduction

Lu Li ,
Xuerong Meggie Wen ,
Zhou Yu
dol:10.1080/24754269.2020.1829389
Abstract Full Text PDF More Citation
Short Communication

Discussion on ‘Review of sparse sufficient dimension reduction’

Xin Chen
dol:10.1080/24754269.2020.1829392
Abstract Full Text PDF More Citation

Rejoinder on ‘A selective overview of sparse sufficient dimension reduction’

Lu Li ,
Xuewong Meggie Wen ,
Zhou Yu
dol:10.1080/24754269.2020.1833150
Abstract Full Text PDF More Citation

Comment on ‘Review of sparse sufficient dimension reduction’

Michael Declan Power ,
Yuexiao Dong
dol:10.1080/24754269.2020.1829394
Abstract Full Text PDF More Citation

Discussion on ‘Review of sparse sufficient dimension reduction’

Xin Zhang
dol:10.1080/24754269.2020.1829393
Abstract Full Text PDF More Citation

Review of sparse sufficient dimension reduction: comment

Liping Zhu
dol:10.1080/24754269.2020.1829391
Abstract Full Text PDF More Citation
Articles

Optimal mean-variance reinsurance and investment strategy with constraints in a non-Markovian regime-switching model

Liming Zhang ,
Rongming Wang ,
Jiaqin Wei
dol:10.1080/24754269.2020.1719356
Abstract Full Text PDF More Citation

Quantile treatment effect estimation with dimension reduction

Ying Zhang ,
Lei Wang ,
Menggang Yu ,
Jun Shao
dol:10.1080/24754269.2019.1696645
Abstract Full Text PDF More Citation

A class of admissible estimators of multiple regression coefficient with an unknown variance

Chengyuan Song ,
Dongchu Sun
dol:10.1080/24754269.2019.1653160
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Forecasting semi-stationary processes and statistical arbitrage

Si Bao ,
Shi Chen ,
Wei An Zheng ,
Yu Zhou
dol:10.1080/24754269.2019.1675420
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Efficient GMM estimation with singular system of moment conditions

Zhiguo Xiao
dol:10.1080/24754269.2019.1653159
Abstract Full Text PDF More Citation

Power-expected-posterior prior Bayes factor consistency for nested linear models with increasing dimensions

D. Fouskakis ,
J. K. Innocent ,
L. Pericchi
dol:10.1080/24754269.2020.1719355
Abstract Full Text PDF More Citation

Empirical likelihood estimation in multivariate mixture models with repeated measurements

Yuejiao Fu ,
Yukun Liu ,
Hsiao-Hsuan Wang ,
Xiaogang Wang
dol:10.1080/24754269.2019.1630544
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Interval estimation for minimal clinically important difference and its classification error via a bootstrap scheme

Zehua Zhou ,
Jiwei Zhao ,
Melissa Kluczynski
dol: 10.1080/24754269.2019.1587692
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Abstract

The abstract of doctoral dissertation ‘Some research on hypothesis testing and nonparametric variable screening problems for high dimensional data’

Yongshuai Chen ,
Hengjian Cui
dol:10.1080/24754269.2020.1829390
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Issue 1, Volume 4, 2020

Statistical Theory and Related Fields, Volume 4, Issue 1 (2020)

Review Article

Optimal reinsurance designs based on risk measures: a review

Jun Cai ,
Yichun Chi
dol:10.1080/24754269.2020.1758500
Abstract Full Text PDF More Citation
Short Communication

Responses to discussions on ‘Optimal reinsurance designs based on risk measures: a review’

Jun Cai ,
Yichun Chi
dol:10.1080/24754269.2020.1777025
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Discussion of “optimal reinsurance designs based on risk measures: a review” by Jun Cai and Yichun Chi

Ambrose Lo
dol:10.1080/24754269.2020.1777026
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A hybrid model of optimal reinsurance: a discussion of ‘Optimal reinsurance designs based on risk measures: a review’ by Jun Cai and Yichun Chi

Sheng Chao Zhuang
dol:10.1080/24754269.2020.1765127
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Discussion on the paper ‘Optimal reinsurance design based on risk measures: a review’ by Yichun Chi and Jun Cai

Chengguo Weng
dol:10.1080/24754269.2020.1765129
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A discussion of ‘optimal reinsurance designs based on risk measures: a review’

Tim J. Boonen
dol:10.1080/24754269.2020.1765128
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Articles

The abstract of doctoral dissertation ‘nonlinear wavelet density estimation and hazard rate estimation with data missing at random’

Yuye Zou ,
Guoliang Fan ,
Riquan Zhang
dol:10.1080/24754269.2019.1653161
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Meta-analysis of independent datasets using constrained generalised method of moments

Menghao Xu ,
Jun Shao
dol:10.1080/24754269.2019.1630545
Abstract Full Text PDF More Citation

Semiparametric estimation for accelerated failure time mixture cure model allowing non-curable competing risk

Yijun Wang ,
Jiajia Zhang ,
Yincai Tang
dol:10.1080/24754269.2019.1600123
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Statistical arbitrage under the efficient market hypothesis

Si Bao ,
Shi Chen ,
Xi Wang ,
Wei An Zheng ,
Yu Zhou
dol:10.1080/24754269.2019.1670525
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Power analysis, sample size calculation for testing the largest binomial probability

Thuan Nguyen ,
Jiming Jiang
dol:10.1080/24754269.2019.1586283
Abstract Full Text PDF More Citation

Topic model for graph mining based on hierarchical Dirichlet process

Haibin Zhang ,
Shang Huating ,
Xianyi Wu
dol:10.1080/24754269.2019.1593098
Abstract Full Text PDF More Citation

Convergence rate of principal component analysis with local-linear smoother for functional data under a unified weighing scheme

Xingyu Yan ,
Xiaolong Pu ,
Yingchun Zhou ,
Xiaolei Xun
dol:10.1080/24754269.2019.1656048
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Group screening for ultra-high-dimensional feature under linear model

Yong Niu ,
Riquan Zhang
dol:10.1080/24754269.2019.1633763
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Model-based small area estimation with no samples within the areas, by benchmarking to marginal cross-sectional and time-series estimates

Danny Pfeffermann ,
Michael Sverchkov ,
Richard Tiller ,
Lizhi Liu
dol:10.1080/24754269.2020.1719470
Abstract Full Text PDF More Citation

Issue 2, Volume 3, 2019

Statistical Theory and Related Fields, Volume 3, Issue 2 (2019)

Short Communication

2019 International Workshop on Big Data and Modern Statistics held at ECNU, China

Wei Zhao ,
Ying Zhang ,
Shanping Wang
dol:10.1080/24754269.2019.1675411
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Articles

Using state space models as a statistical impact measurement of survey redesigns: a case study of the labour force survey of the Australian Bureau of Statistics

Xichuan (Mark) Zhang ,
Jan A. van den Brakel ,
Siu-Ming Tam
dol:10.1080/24754269.2019.1677085
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Multivariate small area estimation under nonignorable nonresponse*

Danny Pfeffermann ,
Michael Sverchkov
dol:10.1080/24754269.2019.1676683
Abstract Full Text PDF More Citation

Nearest neighbour imputation under single index models

Jun Shao ,
Lei Wang
dol:10.1080/24754269.2019.1675409
Abstract Full Text PDF More Citation

An equivalence result for moment equations when data are missing at random

Marian Hristache ,
Valentin Patilea
dol:10.1080/24754269.2019.1672021
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Improving timeliness and accuracy of estimates from the UK labour force survey

D. J. Elliott ,
P. Zong
dol:10.1080/24754269.2019.1676034
Abstract Full Text PDF More Citation

Combining multiple imperfect data sources for small area estimation: a Bayesian model of provincial fertility rates in Cambodia

Junni L. Zhang ,
John Bryant
dol:10.1080/24754269.2019.1658062
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A resampling approach to estimation of the linking variance in the Fay–Herriot model

Snigdhansu Chatterjee
dol:10.1080/24754269.2019.1675408
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Graph-based multivariate conditional autoregressive models

Ye Liang
dol:10.1080/24754269.2019.1666242
Abstract Full Text PDF More Citation

Generalised variance functions for longitudinal survey data

Guoyi Zhang ,
Yang Cheng ,
Yan Lu
dol:10.1080/24754269.2019.1664372
Abstract Full Text PDF More Citation

Multi-outcome longitudinal small area estimation – a case study

Eric Slud ,
Yves Thibaudeau
dol:10.1080/24754269.2019.1669360
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Small area estimation with subgroup analysis

Xin Wang ,
Zhengyuan Zhu
dol:10.1080/24754269.2019.1659097
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Small area prediction of quantiles for zero-inflated data and an informative sample design

Emily Berg ,
Danhyang Lee
dol:10.1080/24754269.2019.1666243
Abstract Full Text PDF More Citation

On valid descriptive inference from non-probability sample

Li-Chun Zhang
dol:10.1080/24754269.2019.1666241
Abstract Full Text PDF More Citation

Domain estimation under informative linkage

Ray Chambers ,
Nicola Salvati ,
Enrico Fabrizi ,
Andrea Diniz da Silva
dol:10.1080/24754269.2019.1653158
Abstract Full Text PDF More Citation
Editorials

Editorial foreword, second issue, 2019

Yang Cheng ,
Jun Shao
dol:10.1080/24754269.2019.1677086
Abstract Full Text PDF More Citation

Issue 1, Volume 3, 2019

Statistical Theory and Related Fields, Volume 3, Issue 1 (2019)

Editorial Foreword

Editorial foreword

Jun Shao ,
Dongchu Sun ,
Danyu Lin
dol:10.1080/24754269.2019.1625297
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Articles

Shape-constrained semiparametric additive stochastic volatility models

Jiangyong Yin ,
Peter F. Craigmile ,
Xinyi Xu ,
Steven MacEachern
dol:10.1080/24754269.2019.1573410
Abstract Full Text PDF More Citation

Some results on quantile-based Shannon doubly truncated entropy

Vikas Kumar ,
Gulshan Taneja ,
Samsher Chhoker
dol:10.1080/24754269.2019.1586282
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Development of a first order integrated moving average model corrupted with a Markov modulated convex combination of autoregressive moving average errors

S. A. Komolafe ,
T. O. Obilade ,
I. O. Ayodeji ,
A. R. Babalola
dol:10.1080/24754269.2019.1598833
Abstract Full Text PDF More Citation

Measure of rotatability of modified five-level second-order rotatable design using supplementary difference sets

Haron Mutai Ng’eno
dol:10.1080/24754269.2018.1545203
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News

Founding of the Big Data Statistics Branch

Shanping Wang
dol:10.1080/24754269.2019.1598834
Abstract Full Text PDF More Citation
Discussion Paper and Discussions

Discussion on Prior-based Bayesian Information Criterion (PBIC) by M. J. Bayarri, James O. Berger, Woncheol Jang, Surajit Ray, Luis R. Pericchi, and Ingmar Visser

Ruobin Gong ,
Minge Xie
dol:10.1080/24754269.2019.1611146
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Rejoinder by James Berger, Woncheol Jang, Surajit Ray, Luis R. Pericchi and Ingmar Visser

dol:10.1080/24754269.2019.1611147
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Discussion of prior-based Bayesian information criterion (PBIC) by M.J. Bayarria, James O. Berger, Woncheol Jang, Surajit Ray, Luis R. Pericchi, and Ingmar Visser

Ryan A. Peterson ,
Joseph E. Cavanaugh
dol:10.1080/24754269.2019.1611145
Abstract Full Text PDF More Citation

Discussion of ‘Prior-based Bayesian information criterion (PBIC)’

Jan Hannig
dol:10.1080/24754269.2019.1611144
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Discussion of ‘Prior-based Bayesian Information Criterion (PBIC)’

Bertrand S. Clarke
dol:10.1080/24754269.2019.1611143
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Discussion of ‘Prior-based Bayesian Information Criterion (PBIC)’

Sifan Liu ,
Dongchu Sun
dol:10.1080/24754269.2019.1611142
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Discussion on prior-based Bayes information criterion

Brunero Liseo
dol:10.1080/24754269.2019.1583630
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A discussion of ‘prior-based Bayesian information criterion (PBIC)’

Jun Shao ,
Sheng Zhang
dol:10.1080/24754269.2019.1583086
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A discussion of prior-based Bayesian information criterion (PBIC)

Jiming Jiang ,
Thuan Nguyen
dol:10.1080/24754269.2019.1583631
Abstract Full Text PDF More Citation

A discussion of ‘prior-based Bayesian information criterion’

Jiahua Chen ,
Zeny Feng
dol:10.1080/24754269.2019.1583628
Abstract Full Text PDF More Citation

Prior-based Bayesian information criterion

M. J. Bayarri ,
James O. Berger ,
Woncheol Jang ,
Surajit Ray ,
Luis R. Pericchi ,
Ingmar Visser
dol:10.1080/24754269.2019.1582126
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Book Review

The appreciation of statistical thoughts

Zhao Yujie
dol:10.1080/24754269.2019.1622996
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Issue 2, Volume 2, 2018

Statistical Theory and Related Fields, Volume 2, Issue 2 (2018)

Editorial Foreword

Editorial foreword, second issue, 2018

Jun Shao ,
Dongchu Sun ,
Danyu Lin
dol:10.1080/24754269.2018.1532735
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Short Communication

How I became a statistician — thank you speech at birthday dinner

Danny Pfeffermann
dol:10.1080/24754269.2018.1525659
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Interview with Professor Danny Pfeffermann

Lyu Ni ,
Kai Tan
dol:10.1080/24754269.2018.1520022
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Summaries of three keynote lectures at the SAE – 2018

Kai Tan ,
Lyu Ni
dol:10.1080/24754269.2018.1525658
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The effects of additive outliers in INAR(1) process and robust estimation

Marcelo Bourguignon ,
Klaus L. P. Vasconcellos
dol:10.1080/24754269.2018.1520018
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Pseudo likelihood and dimension reduction for data with nonignorable nonresponse

Ji Chen ,
Bingying Xie ,
Jun Shao
dol:10.1080/24754269.2018.1516101
Abstract Full Text PDF More Citation

Dynamic stress–strength reliability estimation of system with survival signature

Yiming Liu ,
Yimin Shi ,
Xuchao Bai ,
Bin Liu
dol:10.1080/24754269.2018.1530902
Abstract Full Text PDF More Citation

Efficient Robbins–Monro procedure for multivariate binary data

Cui Xiong ,
Jin Xu
dol:10.1080/24754269.2018.1507384
Abstract Full Text PDF More Citation

Combining estimators of a common parameter across samples

Eric Slud ,
Ilia Vonta ,
Abram Kagan
dol:10.1080/24754269.2018.1530903
Abstract Full Text PDF More Citation

Some results of classification problem by Bayesian method and application in credit operation

Tai Vovan
dol:10.1080/24754269.2018.1528420
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Rejoinder: statistical inference for non-ignorable missing-data problems: a selective review

Niansheng Tang
dol:10.1080/24754269.2018.1532736
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Statistical methods without estimating the missingness mechanism: a discussion of ‘statistical inference for nonignorable missing data problems: a selective review’ by Niansheng Tang and Yuanyuan Ju

Jiwei Zhao
dol:10.1080/24754269.2018.1522576
Abstract Full Text PDF More Citation

Semiparametric propensity weighting for nonignorable nonresponse: a discussion of ‘Statistical inference for nonignorable missing data problems: a selective review’ by Niansheng Tang and Yuanyuan Ju

Jun Shao
dol:10.1080/24754269.2018.1522996
Abstract Full Text PDF More Citation

A discussion of ‘statistical inference for nonignorable missing data problems: a selective review’ by Niansheng Tang and Yuanyuan Ju

Kosuke Morikawa ,
Jae Kwang Kim
dol:10.1080/24754269.2018.1522995
Abstract Full Text PDF More Citation

Some issues on longitudinal data with nonignorable dropout, a discussion of “Statistical Inference for Nonignorable Missing-Data Problems: A Selective Review” by Niansheng Tang and Yuanyuan Ju

Lei Wang
dol:10.1080/24754269.2018.1522575
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Variable screening with missing covariates: a discussion of ‘statistical inference for nonignorable missing data problems: a selective review’ by Niansheng Tang and Yuanyuan Ju

Fang Fang ,
Lyu Ni
dol:10.1080/24754269.2018.1522574
Abstract Full Text PDF More Citation
DISCUSSION PAPER

Statistical inference for nonignorable missing-data problems: a selective review

Niansheng Tang ,
Yuanyuan Ju
dol:10.1080/24754269.2018.1522481
Abstract Full Text PDF More Citation

Issue 1, Volume 2, 2018

Statistical Theory and Related Fields, Volume 2, Issue 1 (2018)

Editorial Foreword

Editorial foreword

Jun Shao ,
Dongchu Sun ,
Danyu Lin
dol:10.1080/24754269.2018.1493649
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Articles

Testing hypotheses under covariate-adaptive randomisation and additive models

Ting Ye
dol:10.1080/24754269.2018.1477005
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Impact of sufficient dimension reduction in nonparametric estimation of causal effect

Ying Zhang ,
Jun Shao ,
Menggang Yu ,
Lei Wang
dol:doi.org/10.1080/24754269.2018.1466100
Abstract Full Text PDF More Citation

Deep advantage learning for optimal dynamic treatment regime

Shuhan Liang ,
Wenbin Lu ,
Rui Song
dol:10.1080/24754269.2018.1466096
Abstract Full Text PDF More Citation

A generalisation of the exponential distribution and its applications on modelling skewed data

Muhammad Zubair ,
Ayman Alzaatreh ,
M. H. Tahir ,
Muhammad Mansoor ,
Manat Mustafa
dol:10.1080/24754269.2018.1466099
Abstract Full Text PDF More Citation

Step-stress accelerated degradation test planning based on Wiener process with correlation

Lei He ,
Rong-Xian Yue ,
Daojiang He
dol:10.1080/24754269.2018.1466102
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Statistical analysis of dependent competing risks model in constant stress accelerated life testing with progressive censoring based on copula function

Xuchao Bai ,
Yimin Shi ,
Yiming Liu ,
Bin Liu
dol:10.1080/24754269.2018.1466101
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Objective Bayesian hypothesis testing and estimation for the intraclass model

Duo Zhang ,
Daojiang He ,
Xiaoqian Sun ,
Min Wang
dol:10.1080/24754269.2018.1481586
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Objective Bayesian analysis for the accelerated degradation model using Wiener process with measurement errors

Daojiang He ,
Yunpeng Wang ,
Mingxiang Cao
dol:10.1080/24754269.2018.1466097
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Response to discussion of ‘Nutritional epidemiology methods and related statistical challenges and opportunities’

Ross L. Prentice ,
Ying Huang
dol:10.1080/24754269.2018.1493633
Abstract Full Text PDF More Citation

Discussion of the paper by R. L. Prentice and Y. Huang: Optimal designs and efficient inference for biomarker studies

D. Y. Lin
dol:10.1080/24754269.2018.1493630
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Much room for optimism on measuring diet, preventing cancer and cardiovascular disease, and correcting for measurement error – discussion of the paper by R. L. Prentice and Y. Huang

Donna Spiegelman
dol:10.1080/24754269.2018.1493632
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On the formation and use of calibration equations in nutritional epidemiology – Discussion of the Paper by R. L. Prentice and Y. Huang

Laurence S. Freedman ,
Pamela A. Shaw
dol:10.1080/24754269.2018.1493631
Abstract Full Text PDF More Citation
REVIEW

Nutritional epidemiology methods and related statistical challenges and opportunities

Ross L. Prentice ,
Ying Huang
dol:10.1080/24754269.2018.1466098
Abstract Full Text PDF More Citation

Issue 2, Volume 1, 2017

Editorial Foreword

Second Issue, 2017

Jun Shao ,
Dongchu Sun ,
Danyu Lin
dol:10.1080/24754269.2017.1403746
Abstract Full Text PDF More Citation
Review Article

Multi-category diagnostic accuracy based on logistic regression

Jialiang Li ,
Jason P. Fine
dol:10.1080/24754269.2017.1319105
Abstract Full Text PDF More Citation
Articles

Optimal AK composite estimators in current population survey

Yang Cheng ,
Jun Shao ,
Zhou Yu
dol:10.1080/24754269.2017.1359437
Abstract Full Text PDF More Citation

Factor analysis of correlation matrices when the number of random variables exceeds the sample size

Miguel Marino ,
Yi Li
dol:10.1080/24754269.2017.1399740
Abstract Full Text PDF More Citation

Sequential profile Lasso for ultra-high-dimensional partially linear models

Yujie Li ,
Gaorong Li ,
Tiejun Tong
dol:10.1080/24754269.2017.1396432
Abstract Full Text PDF More Citation

Statistical estimation in partially nonlinear models with random effects

Ye Que ,
Zhensheng Huang ,
Riquan Zhang
dol:10.1080/24754269.2017.1396425
Abstract Full Text PDF More Citation

Statistical inference for zero-and-one-inflated poisson models

Yincai Tang ,
Wenchen Liu ,
Ancha Xu
dol:10.1080/24754269.2017.1400419
Abstract Full Text PDF More Citation

The influence of misspecified covariance on false discovery control when using posterior probabilities

Ye Liang ,
Joshua D. Habiger ,
Xiaoyi Min
dol:10.1080/24754269.2017.1387445
Abstract Full Text PDF More Citation

Semiparametric Bayesian analysis of high-dimensional censored outcome data

Chetkar Jha ,
Yi Li ,
Subharup Guha
dol:10.1080/24754269.2017.1396436
Abstract Full Text PDF More Citation

Bayesian functional enrichment analysis for the Reactome database

Jing Cao
dol:10.1080/24754269.2017.1387444
Abstract Full Text PDF More Citation

Personalised medicine with multiple treatments: a PhD thesis abstract

Zhilan Lou
dol:10.1080/24754269.2017.1396426
Abstract Full Text PDF More Citation

Treatment recommendation and parameter estimation under single-index contrast function

Cui Xiong ,
Menggang Yu ,
Jun Shao
dol:10.1080/24754269.2017.1341012
Abstract Full Text PDF More Citation

Robust dynamic risk prediction with longitudinal studies

Qian M. Zhou ,
Wei Dai ,
Yingye Zheng ,
Tianxi Cai
dol:10.1080/24754269.2017.1400418
Abstract Full Text PDF More Citation

On finite mixture models

Jiahua Chen
dol:10.1080/24754269.2017.1321883
Abstract Full Text PDF More Citation
Book Review

Sample size calculations in clinical research, third edition, by Shein-Chung Chow, Jun Shao, Hansheng Wang, and Yuliya Lokhnygina

Ting Ye ,
Yanyao Yi
dol:10.1080/24754269.2017.1398000
Abstract Full Text PDF More Citation

Issue 1, Volume 1, 2017

Statistical Theory and Related Fields, Volume 1, Issue 1 (2017)

Articles

Bayesian analysis of series system with dependent causes of failure

Ancha Xu ,
Shirong Zhou
dol:10.1080/24754269.2017.1348708
Abstract Full Text PDF More Citation

Power analysis for stratified cluster randomisation trials with cluster size being the stratifying factor

Jijia Wang ,
Song Zhang ,
Chul Ahn
dol:10.1080/24754269.2017.1347309
Abstract Full Text PDF More Citation

Portfolio optimisation using constrained hierarchical bayes models1

Jiangyong Yin ,
Xinyi Xu
dol:10.1080/24754269.2017.1347310
Abstract Full Text PDF More Citation

An extended sparse max-linear moving model with application to high-frequency financial data

Timothy Idowu ,
Zhengjun Zhang
dol:10.1080/24754269.2017.1346852
Abstract Full Text PDF More Citation

Quasi-Monte Carlo simulation of Brownian sheet with application to option pricing

Xinyu Song ,
Yazhen Wang
dol:10.1080/24754269.2017.1332965
Abstract Full Text PDF More Citation

Semiparametric fractional imputation using empirical likelihood in survey sampling

Sixia Chen ,
Jae kwang Kim
dol:10.1080/24754269.2017.1328244
Abstract Full Text PDF More Citation

An adaptive lack of fit test for big data

Yanyan Zhao ,
Changliang Zou ,
Zhaojun Wang
dol:10.1080/24754269.2017.1339373
Abstract Full Text PDF More Citation

Cholesky-based model averaging for covariance matrix estimation

Hao Zheng ,
Kam-Wah Tsui ,
Xiaoning Kang ,
Xinwei Deng
dol:10.1080/24754269.2017.1336831
Abstract Full Text PDF More Citation

Personalised treatment assignment maximising expected benefit with smooth hinge loss

Shixue Liu ,
Jun Shao ,
Menggang Yu
dol:10.1080/24754269.2017.1326080
Abstract Full Text PDF More Citation

Achieving the oracle property of OEM with nonconvex penalties

Shifeng Xiong ,
Bin Dai ,
Peter Z. G. Qian
dol:10.1080/24754269.2017.1326079
Abstract Full Text PDF More Citation

On finite mixture models

Jiahua Chen
dol:10.1080/24754269.2017.1321883
Abstract Full Text PDF More Citation

Funnel testing in webpage optimisation: representation, design and analysis

Heng Su ,
C. F. Jeff Wu
dol:10.1080/24754269.2017.1332964
Abstract Full Text PDF More Citation
Editorials

Editorial

Jun Shao ,
Dongchu Sun ,
Danyu Lin
dol:10.1080/24754269.2017.1352189
Abstract Full Text PDF More Citation

Latest Articles

Latest Articles

Partially fixed bayesian additive regression trees

Hao Ran ,
Yang Bai
dol:10.1080/24754269.2024.2341981
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D-optimal saturated designs for main effects and interactions in 2^k-factorial experiments

Francois K. Domagni ,
A. S. Hedayat ,
Bikas Kumar Sinha
dol:10.1080/24754269.2024.2341983
Abstract Full Text PDF More Citation

Variable selection and subgroup analysis for high-dimensional censored data

Yu Zhang ,
Jiangli Wang ,
Weiping Zhang
dol:10.1080/24754269.2024.2327113
Abstract Full Text PDF More Citation

Properties of k-record posteriors for the Weibull model

Z. Vidović ,
J. Nikolić ,
Z. Perić
dol:10.1080/24754269.2024.2322312
Abstract Full Text PDF More Citation

Estimation and inference for multi-kink expectile regression with nonignorable dropout

Dongyu Li ,
Lei Wang
dol:10.1080/24754269.2024.2302763
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Asymptotic properties of Kaplan–Meier estimator and hazard estimator for censored survival time with LENQD data

Yongming Li ,
Weicai Pang ,
Ziqing Feng ,
Naiyi Li
dol:10.1080/24754269.2024.2302754
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Adjusted variance estimators based on minimizing mean squared error for stratified random samples

Guoyi Zhang ,
Bruce Swan
dol:10.1080/24754269.2024.2303915
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Increasing convex order of capital allocation with dependent assets under threshold model

Jiandong Zhang ,
Zhouxia Guo ,
Jiale Niu ,
Rongfang Yan
dol:10.1080/24754269.2023.2301630
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Communication-efficient distributed statistical inference on zero-inflated Poisson models

Ran Wan ,
Yang Bai
dol:10.1080/24754269.2023.2263721
Abstract Full Text PDF More Citation

A selective review of statistical methods using calibration information from similar studies

Jing Qin ,
Yukun Liu ,
Pengfei Li
dol:10.1080/24754269.2022.2096426
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