Statistical Theory and Related Fields

2017 - 2024

Current editor(s): Zhao Wei

From Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

Access Statistics for this journal.
Is something missing from the series or not right? See the RePEc data check for the archive and series.

Volume 8, issue 4, 2024

Spatial-sign-based high-dimensional white noises test pp. 251-261

Ping Zhao, Dachuan Chen and Zhaojun Wang

A confounding bridge approach for double negative control inference on causal effects pp. 262-273

Wang Miao, Xu Shi, Yilin Li and Eric J. Tchetgen Tchetgen

Robust optimal reinsurance-investment strategy with extrapolative bias premiums and ambiguity aversion pp. 274-294

Ailing Gu, Xuanzhen Zhang, Shumin Chen and Ling Zhang

Reliability estimation of s-out-of-k system with Kumaraswamy distribution based on partially constant stress accelerated life tests pp. 295-314

Dongzhu Lamu and Rongfang Yan

Bivariate iterated Farlie–Gumbel–Morgenstern stress–strength reliability model for Rayleigh margins: Properties and estimation pp. 315-334

N. Chandra, A. James, Filippo Domma and Habbiburr Rehman

Volume 8, issue 3, 2024

A selective review on statistical methods for massive data computation: distributed computing, subsampling, and minibatch techniques pp. 163-185

Xuetong Li, Yuan Gao, Hong Chang, Danyang Huang, Yingying Ma, Rui Pan, Haobo Qi, Feifei Wang, Shuyuan Wu, Ke Xu, Jing Zhou, Xuening Zhu, Yingqiu Zhu and Hansheng Wang

D-optimal saturated designs for main effects and interactions in 2k-factorial experiments pp. 186-194

Francois K. Domagni, A. S. Hedayat and Bikas Kumar Sinha

Statistical inference of reliability for a K-out-of-N: G system with switching failure under Poisson shocks pp. 195-210

Fang Luo, Linmin Hu, Yuyu Wang and Xiaoyun Yu

Variable selection and subgroup analysis for high-dimensional censored data pp. 211-231

Yu Zhang, Jiangli Wang and Weiping Zhang

Partially fixed bayesian additive regression trees pp. 232-242

Hao Ran and Yang Bai

Lifelong dedication and ever-admirable stature – in commemoration of the first anniversary of Mr. Mao Shisong’s passing pp. 243-250

Jinglong Wang, Jixiang Zhou, Xiaolong Pu, Yincai Tang and Yan Li

Volume 8, issue 2, 2024

Communication-efficient distributed statistical inference on zero-inflated Poisson models pp. 81-106

Ran Wan and Yang Bai

Asymptotic properties of Kaplan–Meier estimator and hazard estimator for censored survival time with LENQD data pp. 107-116

Yongming Li, Weicai Pang, Ziqing Feng and Naiyi Li

Adjusted variance estimators based on minimizing mean squared error for stratified random samples pp. 117-123

Guoyi Zhang and Bruce Swan

Increasing convex order of capital allocation with dependent assets under threshold model pp. 124-135

Jiandong Zhang, Zhouxia Guo, Jiale Niu and Rongfang Yan

Estimation and inference for multi-kink expectile regression with nonignorable dropout pp. 136-151

Dongyu Li and Lei Wang

Properties of k-record posteriors for the Weibull model pp. 152-162

Z. Vidović, J. Nikolić and Z. Perić

Volume 8, issue 1, 2024

Robust analyzes for longitudinal clinical trials with missing and non-normal continuous outcomes pp. 1-14

Siyi Liu, Yilong Zhang, Gregory T. Golm, Guanghan (Frank) Liu and Shu Yang

FragmGAN: generative adversarial nets for fragmentary data imputation and prediction pp. 15-28

Fang Fang and Shenliao Bao

Multiply robust estimation for average treatment effect among treated pp. 29-39

Lu Wang and Peisong Han

Verifiable identification condition for nonignorable nonresponse data with categorical instrumental variables pp. 40-50

Kenji Beppu and Kosuke Morikawa

Kernel regression utilizing heterogeneous datasets pp. 51-68

Chi-Shian Dai and Jun Shao

Relaxed doubly robust estimation in causal inference pp. 69-79

Tinghui Xu and Jiwei Zhao

Volume 7, issue 4, 2023

The study on systemic risk of rural finance based on macro–micro big data and machine learning pp. 261-275

Wanling Zhou, Sulin Pang and Zhiliang He

Single-arm phase II three-outcome designs with handling of over-running/under-running pp. 276-286

Wenchuan Guo, Jianan Hui and Bob Zhong

Compression schemes for concept classes induced by three types of discrete undirected graphical models pp. 287-295

Tingting Luo and Benchong Li

Applications of Burr III-Weibull quantile function in reliability analysis pp. 296-308

G. S. Deepthy, Nicy Sebastian and N. Chandra

Log-rank and stratified log-rank tests pp. 309-317

Ting Ye, Jun Shao and Yanyao Yi

Autoregressive moving average model for matrix time series pp. 318-335

Shujin Wu and Ping Bi

Bayesian-inspired minimum contamination designs under a double-pair conditional effect model pp. 336-349

Ming-Chung Chang

Volume 7, issue 3, 2023

Bayesian autoregressive adaptive refined descriptive sampling algorithm in the Monte Carlo simulation pp. 177-187

Djoweyda Ghouil and Megdouda Ourbih-Tari

Dimension reduction with expectation of conditional difference measure pp. 188-201

Wenhui Sheng and Qingcong Yuan

How to implement the ‘one patient, one vote’ principle under the framework of estimand pp. 202-212

Naitee Ting

MLE with datasets from populations having shared parameters pp. 213-222

Jun Shao and Xinyan Wang

Evaluation of the Canadian government policies on controlling the COVID-19 outbreaks pp. 223-234

Mengyao Chen, Yuehua Wu and Baisuo Jin

A distribution-free test of independence based on a modified mean variance index pp. 235-259

Weidong Ma, Fei Ye, Jingsong Xiao and Ying Yang

Volume 7, issue 2, 2023

Regression models of Pearson correlation coefficient pp. 97-106

Abdisa G. Dufera, Tiantian Liu and Jin Xu

Locally R-optimal designs for a class of nonlinear multiple regression models pp. 107-120

Lei He and Rong-Xian Yue

On the construction of balanced repeated measurements designs with good circular properties pp. 121-129

Muhammad Daniyal, Jigneshkumar Gondaliya and Rashid Ahmed

On some aspects of a bivariate alternative zero-inflated logarithmic series distribution pp. 130-143

C. Satheesh Kumar and A. Riyaz

On the MLE of the Waring distribution pp. 144-158

Yanlin Tang, Jinglong Wang and Zhongyi Zhu

Robust variance estimation for covariate-adjusted unconditional treatment effect in randomized clinical trials with binary outcomes pp. 159-163

Ting Ye, Marlena Bannick, Yanyao Yi and Jun Shao

Availability and cost-benefit evaluation for a repairable retrial system with warm standbys and priority pp. 164-175

Jia Kang, Linmin Hu, Rui Peng, Yan Li and Ruiling Tian

Volume 7, issue 1, 2023

Rates of convergence of powered order statistics from general error distribution pp. 1-29

Yuhan Zou, Yingyin Lu and Zuoxiang Peng

Variable selection in finite mixture of median regression models using skew-normal distribution pp. 30-48

Xin Zeng, Yuanyuan Ju and Liucang Wu

A short note on fitting a single-index model with massive data pp. 49-60

Rong Jiang and Yexun Peng

Bayesian analysis for the Lomax model using noninformative priors pp. 61-68

Daojiang He, Dongchu Sun and Qing Zhu

Application of neural network to model rainfall pattern of Ethiopia pp. 69-84

Gemechu Abdisa Atomsa and Yingchun Zhou

A novel nonparametric mixture model for the detection pattern of COVID-19 on Diamond Princess cruise pp. 85-96

Huijuan Ma, Jing Qin, Fang Chen and Yong Zhou

Volume 6, issue 4, 2022

Empirical likelihood inference and goodness-of-fit test for logistic regression model under two-phase case-control sampling pp. 265-276

Zhen Sheng, Yukun Liu and Jing Qin

Eight predictive powers with historical and interim data for futility and efficacy analysis pp. 277-298

Ying-Ying Zhang, Teng-Zhong Rong and Man-Man Li

Moderate deviation principle for stochastic reaction-diffusion systems with multiplicative noise and non-Lipschitz reaction pp. 299-308

Juan Yang

Posterior propriety of an objective prior for generalized hierarchical normal linear models pp. 309-326

Cong Lin, Dongchu Sun and Chengyuan Song

Bayesian penalized model for classification and selection of functional predictors using longitudinal MRI data from ADNI pp. 327-343

Asish Banik, Taps Maiti and Andrew Bender

Model averaging for generalized linear models in fragmentary data prediction pp. 344-352

Chaoxia Yuan, Yang Wu and Fang Fang

Volume 6, issue 3, 2022

A selective review of statistical methods using calibration information from similar studies pp. 175-190

Jing Qin, Yukun Liu and Pengfei Li

Discussion of “A selective review of statistical methods using calibration information from similar studies” and some remarks on data integration pp. 191-192

Jerald F. Lawless

A discussion on “A selective review of statistical methods using calibration information from similar studies” by Qin, Liu and Li pp. 193-195

Peisong Han

A discussion on “A selective review of statistical methods using calibration information from similar studies” pp. 196-198

Ling Zhou and Peter X.-K. Song

Discussion of ‘A selective review of statistical methods using calibration information from similar studies’ pp. 199-200

Jing Ning

A discussion of ‘A selective review on calibration information from similar studies’ pp. 201-203

Jiahua Chen

Rejoinder on “A selective review of statistical methods using calibration information from similar studies” pp. 204-207

Jing Qin, Yukun Liu and Pengfei Li

Asymptotic properties of a nonparametric conditional density estimator in the local linear estimation for functional data via a functional single-index model pp. 208-219

Fadila Benaissa, Abdelmalek Gagui and Abdelhak Chouaf

A new result on recovery sparse signals using orthogonal matching pursuit pp. 220-226

Xueping Chen, Jianzhong Liu and Jiandong Chen

Optimal model averaging estimator for multinomial logit models pp. 227-240

Rongjie Jiang, Liming Wang and Yang Bai

Variable screening in multivariate linear regression with high-dimensional covariates pp. 241-253

Shiferaw B. Bizuayehu, Lu Li and Jin Xu

Exponential tilted likelihood for stationary time series models pp. 254-263

Xiuzhen Zhang, Yukun Liu, Riquan Zhang and Zhiping Lu

Volume 6, issue 2, 2022

A review of distributed statistical inference pp. 89-99

Yuan Gao, Weidong Liu, Hansheng Wang, Xiaozhou Wang, Yibo Yan and Riquan Zhang

Discussion of the paper ‘A review of distributed statistical inference’ pp. 100-101

Heng Lian

Discussion on ‘A review of distributed statistical inference’ pp. 102-103

Yang Yu and Guang Cheng

Discussion of: a review of distributed statistical inference pp. 104-104

Zheng-Chu Guo

Discussion of: ‘A review of distributed statistical inference’ pp. 105-107

Shaogao Lv and Xingcai Zhou

Discussion on the paper ‘A review of distributed statistical inference’ pp. 108-110

Junlong Zhao

Rejoinder on ‘A review of distributed statistical inference’ pp. 111-113

Yuan Gao, Weidong Liu, Hansheng Wang, Xiaozhou Wang, Yibo Yan and Riquan Zhang

Stochastic loss reserving using individual information model with over-dispersed Poisson pp. 114-128

Zhigao Wang, Xianyi Wu and Chunjuan Qiu

Empirical likelihood inference in autoregressive models with time-varying variances pp. 129-138

Yu Han and Chunming Zhang

Time-dependent reliability analysis for repairable consecutive-k-out-of-n:F system pp. 139-147

Gökhan Gökdere and Hon Keung Tony Ng

Generalized fiducial methods for testing quantitative trait locus effects in genetic backcross studies pp. 148-160

Pengcheng Ren, Guanfu Liu, Xiaolong Pu and Yan Li

High-dimensional proportionality test of two covariance matrices and its application to gene expression data pp. 161-174

Long Feng, Xiaoxu Zhang and Binghui Liu

Volume 6, issue 1, 2022

The balance property in neural network modelling pp. 1-9

Mario V. Wüthrich

Interpreting uninterpretable predictors: kernel methods, Shtarkov solutions, and random forests pp. 10-28

T. M. Le and Bertrand Clarke

Posterior contraction rate of sparse latent feature models with application to proteomics pp. 29-39

Tong Li, Tianjian Zhou, Kam-Wah Tsui, Lin Wei and Yuan Ji

Research on three-step accelerated gradient algorithm in deep learning pp. 40-57

Yongqiang Lian, Yincai Tang and Shirong Zhou

Nonignorable item nonresponse in panel data pp. 58-71

Sijing Li and Jun Shao

Stochastic comparisons on total capacity of weighted k-out-of-n systems with heterogeneous components pp. 72-80

Yiying Zhang

A new exact p-value approach for testing variance homogeneity pp. 81-86

Juan Wang, Xinmin Li and Hua Liang

An introduction to statistical learning with applications in R pp. 87-87

Fariha Sohil, Muhammad Umair Sohali and Javid Shabbir