Statistica Sinica

Volume 31,  Number 4, October 2021 

Corresponding author*
GENERAL
  Semiparametric inference of causal effect with nonignorable missing confounder
Zhaohan Sun and Lan Liu*
Supp doi:10.5705/ss.202018.0466
1669
¡@ Construction of uniform designs and complex-structured uniform designs via partitionable t-designs
Hengzhen Huang, Huangsheng Yu, Min-Qian Liu and Dianhua Wu*
  doi:10.5705/ss.202019.0173
1689
¡@ A kernel regression model for panel count data with time-varying coefficients
Yang Wang and Zhangsheng Yu*
Supp doi:10.5705/ss.202019.0220
1707
¡@ Network influence analysis
Tao Zou, Ronghua Luo, Wei Lan* and Chih-Ling Tsai
Supp doi:10.5705/ss.202019.0242
1727
¡@ On sure screening with multiple responses
Di He, Yong Zhou and Hui Zou*
  doi:10.5705/ss.202018.0462
1749
¡@ A unified theory for robust Bayesian prediction under a general class of regret loss functions
Nader Nematollahi*, Mohammad Jafari Jozani and Razieh Jafaraghaie
Supp doi:10.5705/ss.202018.0063
1779
¡@ Exchangeable Markov multi-state survival processes
Walter Dempsey*
Supp doi:10.5705/ss.202018.0403
1807
¡@ New wavelet sure thresholds of elliptical distributions under the balance loss
Hamid Karamikabir and Mahmoud Afshari*
  doi:10.5705/ss.202019.0339
1829
¡@ A robust and nonparametric two-sample test in high dimensions
Tao Qiu, Wangli Xu and Liping Zhu*
Supp doi:10.5705/ss.202019.0170
1853
¡@ Randomized response sampling with applications to tracking drugs for better life
Shu-Ching Su, Veronica I. Salinas, Monique L. Zamora, Stephen A. Sedory and Sarjinder Singh*
Supp doi:10.5705/ss.202016.0177
1871
¡@ Sparseness, consistency and model selection for Markov regime-switching Gaussian autoregressive models
Abbas Khalili* and David A. Stephens
Supp doi:10.5705/ss.202019.0190
1891
¡@ Nonparametric density estimation for intentionally corrupted functional data
Aurore Delaigle and Alexander Meister*
Supp doi:10.5705/ss.202018.0484
1915
¡@ Partitioned approach for high-dimensional confidence intervals with large split sizes
Zemin Zheng, Jiarui Zhang*, Yang Li and Yaohua Wu
Supp doi:10.5705/ss.202018.0379
1935
¡@ Total-effect test is superfluous for establishing complementary mediation
Yingkai Jiang, Xinshu Zhao, Lixing Zhu, Jun S. Liu and Ke Deng*
Supp doi:10.5705/ss.202019.0150
1961
¡@ Remi: Regression with marginal information and its application in genomewide association studies
Jian Huang, Yuling Jiao, Jin Liu* and Can Yang
Supp doi:10.5705/ss.202019.0182
1985
¡@ Matrix completion under low-rank missing mechanism
Xiaojun Mao, Raymond K. W. Wong and Song Xi Chen*
Supp doi:10.5705/ss.202019.0196
2005
  Directed networks with a differentially private bi-degree sequence
Ting Yan*
Supp doi:10.5705/ss.202019.0215
2031
  Bayesian inference in high-dimensional linear models using an empirical correlation-adaptive prior
Chang Liu, Yue Yang, Howard Bondell*, and Ryan Martin
Supp doi:10.5705/ss.202019.0133
2051
  Consistent fixed-effects selection in ultrahigh-dimensional linear mixed models with error-covariate endogeneity
Abhik Ghosh* and Magne Thoresen
Supp doi:10.5705/ss.202019.0421
2073
  Optimal model averaging based on generalized method of moments
Xinyu Zhang*
Supp doi:10.5705/ss.202019.0230
2103
  Efficient kernel-based variable selection with sparsistency
Xin He, Junhui Wang* and Shaogao Lv
Supp doi:10.5705/ss.202019.0401
2123
  A new principle for tuning-free Huber regression
Lili Wang, Chao Zheng, Wen Zhou* and Wen-Xin Zhou
Supp doi:10.5705/ss.202019.0045
2153
  Testing the linear mean and constant variance conditions in sufficient dimension reduction
Tingyou Zhou, Yuexiao Dong and Liping Zhu*
Supp doi:10.5705/ss.202019.0095
2179
  Sufficient cause interactions for categorical and ordinal outcomes
Jaffer M. Zaidi* and Tyler J. VanderWeele
Supp doi:10.5705/ss.202019.0207
2195
Volume 31, Special Online Issue, 2021
Corresponding author*
IN HONOR OF PROFESSOR TZE LEUNG LAI
¡@ Foreword: Recent advances in statistical science and its applications
Yi-Ching Yao and Zhiliang Ying
   
2213
¡@ Negative moment bounds for stochastic regression models with deterministic trends and their applications to prediction problems
Chien-Ming Chi, Ching-Kang Ing* and Shu-Hui Yu
  doi:10.5705/ss.202020.0399
2215
¡@ Hybrid resampling confidence intervals for change-point or stationary high-dimensional stochastic regression models
Wei Dai and Ka Wai Tsang*
Supp doi:10.5705/ss.202020.0439
2239
¡@ Multivariate hysteretic autoregressive models
Ruey S. Tsay*
  doi:10.5705/ss.202020.0411
2257
¡@ Multi-armed bandits with covariates: Theory and applications
Dong Woo Kim, Tze Leung Lai and Huanzhong Xu*
Supp doi:10.5705/ss.202020.0454
2275
¡@ Bandit theory: Applications to learning healthcare systems and clinical trials
Michael Sklar*, Mei-Chiung Shih and Philip Lavori
  doi:10.5705/ss.202020.0431
2289
¡@ Identifiability of bifactor models
Guanhua Fang, Jinxin Guo, Xin Xu, Zhiliang Ying and Susu Zhang*
Supp doi:10.5705/ss.202020.0386
2309
¡@ Sharpening the rosenbaum sensitivity bounds to address concerns about interactions between observed and unobserved covariates
Siyu Heng and Dylan S. Small*
  doi:10.5705/ss.202020.0395
2331
¡@ Quantification of model bias underlying the phenomenon of ''Einstein from noise''
Shao-Hsuan Wang, Yi-Ching Yao, Wei-Hau Chang and I-Ping Tu*
Supp doi:10.5705/ss.202020.0334
2355
¡@ A statistical approach to adaptive parameter tuning in nature-inspired optimization and optimal sequential design of dose-finding trials
Kwok Pui Choi*, Tze Leung Lai, Xin Tong and Weng Kee Wong
Supp doi:10.5705/ss.202020.0412
2381