Content
January 2018, Volume 2, Issue 1
- 68-79 A generalisation of the exponential distribution and its applications on modelling skewed data
by Muhammad Zubair & Ayman Alzaatreh & M. H. Tahir & Muhammad Mansoor & Manat Mustafa - 80-88 Deep advantage learning for optimal dynamic treatment regime
by Shuhan Liang & Wenbin Lu & Rui Song - 89-95 Impact of sufficient dimension reduction in nonparametric estimation of causal effect
by Ying Zhang & Jun Shao & Menggang Yu & Lei Wang - 96-101 Testing hypotheses under covariate-adaptive randomisation and additive models
by Ting Ye
July 2017, Volume 1, Issue 2
- 141-142 Second Issue, 2017
by Jun Shao & Dongchu Sun & Danyu Lin - 143-158 Multi-category diagnostic accuracy based on logistic regression
by Jialiang Li & Jason P. Fine & Michael J. Pencina - 159-170 Robust dynamic risk prediction with longitudinal studies
by Qian M. Zhou & Wei Dai & Yingye Zheng & Tianxi Cai - 171-181 Treatment recommendation and parameter estimation under single-index contrast function
by Cui Xiong & Menggang Yu & Jun Shao - 182-184 Personalised medicine with multiple treatments: a PhD thesis abstract
by Zhilan Lou - 185-193 Bayesian functional enrichment analysis for the Reactome database
by Jing Cao - 194-204 Semiparametric Bayesian analysis of high-dimensional censored outcome data
by Chetkar Jha & Yi Li & Subharup Guha - 205-215 The influence of misspecified covariance on false discovery control when using posterior probabilities
by Ye Liang & Joshua D. Habiger & Xiaoyi Min - 216-226 Statistical inference for zero-and-one-inflated poisson models
by Yincai Tang & Wenchen Liu & Ancha Xu - 227-233 Statistical estimation in partially nonlinear models with random effects
by Ye Que & Zhensheng Huang & Riquan Zhang - 234-245 Sequential profile Lasso for ultra-high-dimensional partially linear models
by Yujie Li & Gaorong Li & Tiejun Tong - 246-256 Factor analysis of correlation matrices when the number of random variables exceeds the sample size
by Miguel Marino & Yi Li - 257-264 Optimal AK composite estimators in current population survey
by Yang Cheng & Jun Shao & Zhou Yu - 265-266 Sample size calculations in clinical research, third edition, by Shein-Chung Chow, Jun Shao, Hansheng Wang, and Yuliya Lokhnygina
by Ting Ye & Yanyao Yi
January 2017, Volume 1, Issue 1
- 1-2 Editorial
by Jun Shao & Dongchu Sun & Danyu Lin - 3-14 Funnel testing in webpage optimisation: representation, design and analysis
by Heng Su & C. F. Jeff Wu - 15-27 On finite mixture models
by Jiahua Chen - 28-36 Achieving the oracle property of OEM with nonconvex penalties
by Shifeng Xiong & Bin Dai & Peter Z. G. Qian - 37-47 Personalised treatment assignment maximising expected benefit with smooth hinge loss
by Shixue Liu & Jun Shao & Menggang Yu - 48-58 Cholesky-based model averaging for covariance matrix estimation
by Hao Zheng & Kam-Wah Tsui & Xiaoning Kang & Xinwei Deng - 59-68 An adaptive lack of fit test for big data
by Yanyan Zhao & Changliang Zou & Zhaojun Wang - 69-81 Semiparametric fractional imputation using empirical likelihood in survey sampling
by Sixia Chen & Jae kwang Kim - 82-91 Quasi-Monte Carlo simulation of Brownian sheet with application to option pricing
by Xinyu Song & Yazhen Wang - 92-111 An extended sparse max-linear moving model with application to high-frequency financial data
by Timothy Idowu & Zhengjun Zhang - 112-120 Portfolio optimisation using constrained hierarchical bayes models
by Jiangyong Yin & Xinyi Xu - 121-127 Power analysis for stratified cluster randomisation trials with cluster size being the stratifying factor
by Jijia Wang & Song Zhang & Chul Ahn - 128-140 Bayesian analysis of series system with dependent causes of failure
by Ancha Xu & Shirong Zhou