Archives

Issue 2, Volume 6, 2022

Research Article

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

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

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

Zhigao Wang ,
Xianyi Wu ,
Chunjuan Qiu
dol:10.1080/24754269.2021.1898181

Empirical likelihood inference in autoregressive models with time-varying variances

Yu Han ,
Chunming Zhang
dol:10.1080/24754269.2021.1913977

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
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
Short Communication

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

Heng Lian
dol:10.1080/24754269.2021.2017544

Discussion on ‘A review of distributed statistical inference’

Yang Yu ,
Guang Cheng
dol:10.1080/24754269.2022.2030107

Discussion of: a review of distributed statistical inference

Zheng-Chu Guo
dol:10.1080/24754269.2021.2022998

Discussion of: ‘A review of distributed statistical inference’

Shaogao Lv ,
Xingcai Zhou
dol:10.1080/24754269.2021.2015868

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

Junlong Zhao
dol:10.1080/24754269.2021.2015861

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

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

Nonignorable item nonresponse in panel data

Sijing Li ,
Jun Shao
dol:10.1080/24754269.2020.1856591

The balance property in neural network modelling

Mario V. Wüthrich
dol:10.1080/24754269.2021.1877960

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

Yiying Zhang
dol:10.1080/24754269.2021.1894402

A new exact p-value approach for testing variance homogeneity

Juan Wang ,
Xinmin Li ,
Hua Liang
dol:10.1080/24754269.2021.1907519

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

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

T. M. Le ,
Bertrand Clarke
dol:10.1080/24754269.2021.1974157
Book Review

An introduction to statistical learning with applications in R

Fariha Sohil ,
Muhammad Umair Sohali ,
Javid Shabbir
dol:10.1080/24754269.2021.1980261

Issue 4, Volume 5, 2021

Articles

Intrinsic Bayesian estimation of linear time series models

Shawn Ni
dol:10.1080/24754269.2020.1744073

A system for determining maximum tolerated dose in clinical trial

Keying Ye ,
Xiaobin Yang ,
Ying Ji ,
Min Wang
dol:10.1080/24754269.2021.1871708

Bayesian quantile semiparametric mixed-effects double regression models

Duo Zhang ,
Liucang Wu ,
Keying Ye ,
Min Wang
dol:10.1080/24754269.2021.1877961

Covariance estimation via fiducial inference

W. Jenny Shi ,
Jan Hannig ,
Randy C. S. Lai ,
Thomas C. M. Lee
dol:10.1080/24754269.2021.1877950

Bayesian analysis for quantile smoothing spline

Zhongheng Cai ,
Dongchu Sun
dol:10.1080/24754269.2021.1946372

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

Xuan Cao ,
Fang Yang
dol:10.1080/24754269.2021.1963182

Issue 3, Volume 5, 2021

Editorial Foreword

Editorial Foreword

Jun Shao ,
Yincai Tang
dol:10.1080/24754269.2021.1963398
Review Article

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

Jun Shao
dol:10.1080/24754269.2021.1871873
Short Communication

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

Jun Shao
dol:10.1080/24754269.2021.1905357

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

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

Hanzhong Liu
dol:10.1080/24754269.2021.1905378

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

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
Articles

A three-parameter logistic regression model

Xiaoli Yu ,
Shaoting Li ,
Jiahua Chen
dol:10.1080/24754269.2020.1796098

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

New extreme value theory for maxima of maxima

Wenzhi Cao ,
Zhengjun Zhang
dol:10.1080/24754269.2020.1846115

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

Hamza Dhaker ,
El Hadji Deme ,
Youssou Ciss
dol:10.1080/24754269.2020.1858630

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

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

Target toxicity design for phase I dose-finding

Wenchuan Guo ,
Bob Zhong
dol:10.1080/24754269.2020.1800331

A prediction-oriented optimal design for visualisation recommender systems

Yingyan Zeng ,
Xinwei Deng ,
Xiaoyu Chen ,
Ran Jin
dol:10.1080/24754269.2021.1905376

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

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

Ryan Lekivetz ,
Joseph Morgan
dol:10.1080/24754269.2021.1904095

Covariate balancing based on kernel density estimates for controlled experiments

Yiou Li ,
Lulu Kang ,
Xiao Huang
dol:10.1080/24754269.2021.1878742

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

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

Hongyan Jiang ,
Rongxian Yue
dol:10.1080/24754269.2021.1884444

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

Haron Mutai Ng’eno
dol:10.1080/24754269.2020.1775034

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

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

Zhengjun Zhang
dol:10.1080/24754269.2020.1856590
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

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

R. L. Smith
dol:10.1080/24754269.2021.1871709

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

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

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

Application of autoregressive tail-index model to Chinas stock market

Jingyu Ji ,
Deyuan Li
dol:10.1080/24754269.2020.1862586

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
Articles

Bayesian variable selection via a benchmark in normal linear models

Jun Shao ,
Kam-Wah Tsui ,
Sheng Zhang
dol:10.1080/24754269.2020.1744074

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

Nonlinear prediction via Hermite transformation

Tucker McElroy ,
Srinjoy Das
dol:10.1080/24754269.2020.1856589

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
Short Communication

Discussion on ‘Review of sparse sufficient dimension reduction’

Xin Chen
dol:10.1080/24754269.2020.1829392

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

Lu Li ,
Xuewong Meggie Wen ,
Zhou Yu
dol:10.1080/24754269.2020.1833150

Comment on ‘Review of sparse sufficient dimension reduction’

Michael Declan Power ,
Yuexiao Dong
dol:10.1080/24754269.2020.1829394

Discussion on ‘Review of sparse sufficient dimension reduction’

Xin Zhang
dol:10.1080/24754269.2020.1829393

Review of sparse sufficient dimension reduction: comment

Liping Zhu
dol:10.1080/24754269.2020.1829391
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

Quantile treatment effect estimation with dimension reduction

Ying Zhang ,
Lei Wang ,
Menggang Yu ,
Jun Shao
dol:10.1080/24754269.2019.1696645

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

Chengyuan Song ,
Dongchu Sun
dol:10.1080/24754269.2019.1653160

Forecasting semi-stationary processes and statistical arbitrage

Si Bao ,
Shi Chen ,
Wei An Zheng ,
Yu Zhou
dol:10.1080/24754269.2019.1675420

Efficient GMM estimation with singular system of moment conditions

Zhiguo Xiao
dol:10.1080/24754269.2019.1653159

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

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

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
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

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
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

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

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

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

A discussion of ‘optimal reinsurance designs based on risk measures: a review’

Tim J. Boonen
dol:10.1080/24754269.2020.1765128
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

Meta-analysis of independent datasets using constrained generalised method of moments

Menghao Xu ,
Jun Shao
dol:10.1080/24754269.2019.1630545

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

Statistical arbitrage under the efficient market hypothesis

Si Bao ,
Shi Chen ,
Xi Wang ,
Wei An Zheng ,
Yu Zhou
dol:10.1080/24754269.2019.1670525

Power analysis, sample size calculation for testing the largest binomial probability

Thuan Nguyen ,
Jiming Jiang
dol:10.1080/24754269.2019.1586283

Topic model for graph mining based on hierarchical Dirichlet process

Haibin Zhang ,
Shang Huating ,
Xianyi Wu
dol:10.1080/24754269.2019.1593098

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

Group screening for ultra-high-dimensional feature under linear model

Yong Niu ,
Riquan Zhang
dol:10.1080/24754269.2019.1633763

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

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
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

Multivariate small area estimation under nonignorable nonresponse*

Danny Pfeffermann ,
Michael Sverchkov
dol:10.1080/24754269.2019.1676683

Nearest neighbour imputation under single index models

Jun Shao ,
Lei Wang
dol:10.1080/24754269.2019.1675409

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

Marian Hristache ,
Valentin Patilea
dol:10.1080/24754269.2019.1672021

Improving timeliness and accuracy of estimates from the UK labour force survey

D. J. Elliott ,
P. Zong
dol:10.1080/24754269.2019.1676034

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

A resampling approach to estimation of the linking variance in the Fay–Herriot model

Snigdhansu Chatterjee
dol:10.1080/24754269.2019.1675408

Graph-based multivariate conditional autoregressive models

Ye Liang
dol:10.1080/24754269.2019.1666242

Generalised variance functions for longitudinal survey data

Guoyi Zhang ,
Yang Cheng ,
Yan Lu
dol:10.1080/24754269.2019.1664372

Multi-outcome longitudinal small area estimation – a case study

Eric Slud ,
Yves Thibaudeau
dol:10.1080/24754269.2019.1669360

Small area estimation with subgroup analysis

Xin Wang ,
Zhengyuan Zhu
dol:10.1080/24754269.2019.1659097

Small area prediction of quantiles for zero-inflated data and an informative sample design

Emily Berg ,
Danhyang Lee
dol:10.1080/24754269.2019.1666243

On valid descriptive inference from non-probability sample

Li-Chun Zhang
dol:10.1080/24754269.2019.1666241

Domain estimation under informative linkage

Ray Chambers ,
Nicola Salvati ,
Enrico Fabrizi ,
Andrea Diniz da Silva
dol:10.1080/24754269.2019.1653158
Editorials

Editorial foreword, second issue, 2019

Yang Cheng ,
Jun Shao
dol:10.1080/24754269.2019.1677086

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
Articles

Shape-constrained semiparametric additive stochastic volatility models

Jiangyong Yin ,
Peter F. Craigmile ,
Xinyi Xu ,
Steven MacEachern
dol:10.1080/24754269.2019.1573410

Some results on quantile-based Shannon doubly truncated entropy

Vikas Kumar ,
Gulshan Taneja ,
Samsher Chhoker
dol:10.1080/24754269.2019.1586282

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

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
News

Founding of the Big Data Statistics Branch

Shanping Wang
dol:10.1080/24754269.2019.1598834
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

Rejoinder by James Berger, Woncheol Jang, Surajit Ray, Luis R. Pericchi and Ingmar Visser

dol:10.1080/24754269.2019.1611147

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

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

Jan Hannig
dol:10.1080/24754269.2019.1611144

Discussion of ‘Prior-based Bayesian Information Criterion (PBIC)’

Bertrand S. Clarke
dol:10.1080/24754269.2019.1611143

Discussion of ‘Prior-based Bayesian Information Criterion (PBIC)’

Sifan Liu ,
Dongchu Sun
dol:10.1080/24754269.2019.1611142

Discussion on prior-based Bayes information criterion

Brunero Liseo
dol:10.1080/24754269.2019.1583630

A discussion of ‘prior-based Bayesian information criterion (PBIC)’

Jun Shao ,
Sheng Zhang
dol:10.1080/24754269.2019.1583086

A discussion of prior-based Bayesian information criterion (PBIC)

Jiming Jiang ,
Thuan Nguyen
dol:10.1080/24754269.2019.1583631

A discussion of ‘prior-based Bayesian information criterion’

Jiahua Chen ,
Zeny Feng
dol:10.1080/24754269.2019.1583628

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
Book Review

The appreciation of statistical thoughts

Zhao Yujie
dol:10.1080/24754269.2019.1622996

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
Short Communication

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

Danny Pfeffermann
dol:10.1080/24754269.2018.1525659

Interview with Professor Danny Pfeffermann

Lyu Ni ,
Kai Tan
dol:10.1080/24754269.2018.1520022

Summaries of three keynote lectures at the SAE – 2018

Kai Tan ,
Lyu Ni
dol:10.1080/24754269.2018.1525658

The effects of additive outliers in INAR(1) process and robust estimation

Marcelo Bourguignon ,
Klaus L. P. Vasconcellos
dol:10.1080/24754269.2018.1520018

Pseudo likelihood and dimension reduction for data with nonignorable nonresponse

Ji Chen ,
Bingying Xie ,
Jun Shao
dol:10.1080/24754269.2018.1516101

Dynamic stress–strength reliability estimation of system with survival signature

Yiming Liu ,
Yimin Shi ,
Xuchao Bai ,
Bin Liu
dol:10.1080/24754269.2018.1530902

Efficient Robbins–Monro procedure for multivariate binary data

Cui Xiong ,
Jin Xu
dol:10.1080/24754269.2018.1507384

Combining estimators of a common parameter across samples

Eric Slud ,
Ilia Vonta ,
Abram Kagan
dol:10.1080/24754269.2018.1530903

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

Tai Vovan
dol:10.1080/24754269.2018.1528420

Rejoinder: statistical inference for non-ignorable missing-data problems: a selective review

Niansheng Tang
dol:10.1080/24754269.2018.1532736

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

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

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

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

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
DISCUSSION PAPER

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

Niansheng Tang ,
Yuanyuan Ju
dol:10.1080/24754269.2018.1522481

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
Articles

Testing hypotheses under covariate-adaptive randomisation and additive models

Ting Ye
dol:10.1080/24754269.2018.1477005

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

Deep advantage learning for optimal dynamic treatment regime

Shuhan Liang ,
Wenbin Lu ,
Rui Song
dol:10.1080/24754269.2018.1466096

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

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

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

Objective Bayesian hypothesis testing and estimation for the intraclass model

Duo Zhang ,
Daojiang He ,
Xiaoqian Sun ,
Min Wang
dol:10.1080/24754269.2018.1481586

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

Response to discussion of ‘Nutritional epidemiology methods and related statistical challenges and opportunities’

Ross L. Prentice ,
Ying Huang
dol:10.1080/24754269.2018.1493633

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

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

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
REVIEW

Nutritional epidemiology methods and related statistical challenges and opportunities

Ross L. Prentice ,
Ying Huang
dol:10.1080/24754269.2018.1466098

Issue 2, Volume 1, 2017

Editorial Foreword

Second Issue, 2017

Jun Shao ,
Dongchu Sun ,
Danyu Lin
dol:10.1080/24754269.2017.1403746
Review Article

Multi-category diagnostic accuracy based on logistic regression

Jialiang Li ,
Jason P. Fine
dol:10.1080/24754269.2017.1319105
Articles

Optimal AK composite estimators in current population survey

Yang Cheng ,
Jun Shao ,
Zhou Yu
dol:10.1080/24754269.2017.1359437

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

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

Yujie Li ,
Gaorong Li ,
Tiejun Tong
dol:10.1080/24754269.2017.1396432

Statistical estimation in partially nonlinear models with random effects

Ye Que ,
Zhensheng Huang ,
Riquan Zhang
dol:10.1080/24754269.2017.1396425

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

Yincai Tang ,
Wenchen Liu ,
Ancha Xu
dol:10.1080/24754269.2017.1400419

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

Semiparametric Bayesian analysis of high-dimensional censored outcome data

Chetkar Jha ,
Yi Li ,
Subharup Guha
dol:10.1080/24754269.2017.1396436

Bayesian functional enrichment analysis for the Reactome database

Jing Cao
dol:10.1080/24754269.2017.1387444

Personalised medicine with multiple treatments: a PhD thesis abstract

Zhilan Lou
dol:10.1080/24754269.2017.1396426

Treatment recommendation and parameter estimation under single-index contrast function

Cui Xiong ,
Menggang Yu ,
Jun Shao
dol:10.1080/24754269.2017.1341012

Robust dynamic risk prediction with longitudinal studies

Qian M. Zhou ,
Wei Dai ,
Yingye Zheng ,
Tianxi Cai
dol:10.1080/24754269.2017.1400418

On finite mixture models

Jiahua Chen
dol:10.1080/24754269.2017.1321883
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

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

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

Portfolio optimisation using constrained hierarchical bayes models1

Jiangyong Yin ,
Xinyi Xu
dol:10.1080/24754269.2017.1347310

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

Timothy Idowu ,
Zhengjun Zhang
dol:10.1080/24754269.2017.1346852

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

Xinyu Song ,
Yazhen Wang
dol:10.1080/24754269.2017.1332965

Semiparametric fractional imputation using empirical likelihood in survey sampling

Sixia Chen ,
Jae kwang Kim
dol:10.1080/24754269.2017.1328244

An adaptive lack of fit test for big data

Yanyan Zhao ,
Changliang Zou ,
Zhaojun Wang
dol:10.1080/24754269.2017.1339373

Cholesky-based model averaging for covariance matrix estimation

Hao Zheng ,
Kam-Wah Tsui ,
Xiaoning Kang ,
Xinwei Deng
dol:10.1080/24754269.2017.1336831

Personalised treatment assignment maximising expected benefit with smooth hinge loss

Shixue Liu ,
Jun Shao ,
Menggang Yu
dol:10.1080/24754269.2017.1326080

Achieving the oracle property of OEM with nonconvex penalties

Shifeng Xiong ,
Bin Dai ,
Peter Z. G. Qian
dol:10.1080/24754269.2017.1326079

On finite mixture models

Jiahua Chen
dol:10.1080/24754269.2017.1321883

Funnel testing in webpage optimisation: representation, design and analysis

Heng Su ,
C. F. Jeff Wu
dol:10.1080/24754269.2017.1332964
Editorials

Editorial

Jun Shao ,
Dongchu Sun ,
Danyu Lin
dol:10.1080/24754269.2017.1352189

Latest Articles

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

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

Juan Yang
dol:10.1080/24754269.2021.1963183

A new result on recovery sparse signals using orthogonal matching pursuit

Xueping Chen ,
Jianzhong Liu ,
Jiandong Chen
dol:10.1080/24754269.2022.2048445

Optimal model averaging estimator for multinomial logit models

Rongjie Jiang ,
Liuming Wang ,
Yang Bai
dol:10.1080/24754269.2022.2037204

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

Exponential tilted likelihood for stationary time series models

Xiuzhen Zhang ,
Yukun Liu ,
Riquan Zhang ,
Zhiping Lu
dol:10.1080/24754269.2021.1978207

Variable screening in multivariate linear regression with high-dimensional covariates

Shiferaw B. Bizuayehu ,
Lu Li ,
Jin Xu
dol:10.1080/24754269.2021.1982607

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
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
Short Communication

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

Jing Ning
dol:10.1080/24754269.2022.2075082

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

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

Ling Zhou ,
Peter X.-K. Songhttps://orcid.org/0000-0001-7881-7182
dol:doi.org/10.1080/24754269.2022.2084930

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