Statistical Theory and Related Fields

2017 - 2026

Current editor(s): Zhao Wei

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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