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Issue 2, Volume 3, 2019

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
Issue 2, Volume 4, 2020

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
Issue 2, Volume 6, 2022

A review of distributed statistical inference

Yuan Gao ,
Weidong Liu ,
Hansheng Wang ,
Xiaozhou Wang ,
Yibo Yan ,
Riquan Zhang
dol:10.1080/24754269.2021.1974158
Issue 1, Volume 1, 2017

On finite mixture models

Jiahua Chen
dol:10.1080/24754269.2017.1321883
Issue 1, Volume 1, 2017

Cholesky-based model averaging for covariance matrix estimation

Hao Zheng ,
Kam-Wah Tsui ,
Xiaoning Kang ,
Xinwei Deng
dol:10.1080/24754269.2017.1336831
Issue 3, Volume 5, 2021

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

Jun Shao
dol:10.1080/24754269.2021.1905357
Issue 3, Volume 6, 2022

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

Jing Qin ,
Yukun Liu ,
Pengfei Li
dol:10.1080/24754269.2022.2037201
Issue 1, Volume 5, 2021

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

Zhengjun Zhang
dol:10.1080/24754269.2020.1856590
Issue 2, Volume 5, 2021

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
Issue 1, Volume 4, 2020

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

Tim J. Boonen
dol:10.1080/24754269.2020.1765128