Statistica Sinica

Volume 29,  Number 1, January 2019 

@corresponding author*
General
  Scalable sum-shrinkage schemes for distributed monitoring large-scale data streams
Kun Liu, Ruizhi Zhang and Yajun Mei*
  doi:10.5705/ss.202015.0316
1
@ Smoothed rank regression for the accelerated failure time competing risks model with missing cause of failure
Zhiping Qiu, Alan T. K. Wan*, Yong Zhou and Peter B. Gilbert
Supp doi:10.5705/ss.202016.0231
23
@ Additive mean residual life model with latent variables under right censoring
Haijin He, Deng Pan, Xinyuan Song* and Liuquan Sun
Supp doi:10.5705/ss.202015.0369
47
  Invariance properties and statistical inference for circular data
Gianluca Mastrantonio*, Giovanna Jona Lasinio, Antonello Maruotti and Gianfranco Calise
Supp doi:10.5705/ss.202016.0067
67
@ Lack of fit test for infinite variation jumps at high frequencies
Xin-Bing Kong*
Supp doi:10.5705/ss.202016.0349
81
@ Multiclass sparse discriminant analysis
Qing Mai, Yi Yang and Hui Zou*
Supp doi:10.5705/ss.202016.0117
97
@ Nonparametric model checks of single-index assumptions
Samuel Maistre* and Valentin Patilea
Supp doi:10.5705/ss.202015.0337
113
@ Nearly unstable processes: a prediction perspective
Ngai Hang Chan, Ching-Kang Ing* and Rongmao Zhang
Supp doi:10.5705/ss.202016.0069
139
@ Hyper Markov laws for correlation matrices
Jeremy Gaskins*
Supp doi:10.5705/ss.202016.0224
165
  On the efficiency of online approach to nonparametric smoothing of big data
Efang Kong and Yingcun Xia*
Supp doi:10.5705/ss.202015.0365
185
@ Maximum penalized likelihood estimation for the endpoint and exponent of a distribution
Fang Wang, Liang Peng, Yongcheng Qi* and Meiping Xu
Supp doi:10.5705/ss.202016.0336
203
@ Network inference from grouped observations using Hub Models
Yunpeng Zhao* and Charles Weko
Supp doi:10.5705/ss.202016.0397
225
@ Copula-based quantile regression for longitudinal data
Huixia Judy Wang, Xingdong Feng* and Chen Dong
Supp doi:10.5705/ss.202016.0135
245
@ Sequential monitoring of covariate-adaptive randomized clinical trials
Hongjian Zhu and Feifang Hu*
  doi:10.5705/ss.202016.0330
265
  Optimal designs for nonlinear models with random block effects
Xin Wang, Min Yang* and Wei Zheng
Supp doi:10.5705/ss.202017.0020
283
@ Matrix graph hypothesis testing and application in brain connectivity alternation detection
Yin Xia and Lexin Li*
Supp doi:10.5705/ss.202017.0023
303
@ Convex mixtures imputation and applications
Jianhui Ning, Michelle Liou* and Philip E. Cheng
Supp doi:10.5705/ss.202015.0204
329
@ Convex surrogate minimization in classification
Cui Xiong, Jun Shao* and Lei Wang
Supp doi:10.5705/ss.202015.0415
353
  Comparison of extended empirical likelihood methods: size and shape of test-based confidence regions
Mi-Ok Kim* and Mai Zhou
  doi:10.5705/ss.202015.0410
371
  Regularization after retention in ultrahigh dimensional linear regression models
Haolei Weng, Yang Feng* and Xingye Qiao
Supp doi:10.5705/ss.202015.0413
387
  Fully efficient joint fractional imputation for incomplete bivariate ordinal responses
Xichen She and Changbao Wu*
Supp doi:10.5705/ss.202016.0396
409
@ Classification and regression trees and forests for incomplete data from sample surveys
Wei-Yin Loh*, John Eltinge, Moon Jung Cho and Yuanzhi Li
Supp doi:10.5705/ss.202017.0225
431
@ Constrained estimation of causal invertible VARMA
Anindya Roy*, Tucker S. Mcelroy and Peter Linton
Supp doi:10.5705/ss.202016.0415
455
@ Graph estimation for matrix-variate Gaussian data
Xi Chen* and Weidong Liu
Supp doi:10.5705/ss.202017.0076
479
@ Simultaneous confidence bands for mean and variance functions based on deterministic design
Li Cai, Rong Liu, Suojin Wang and Lijian Yang*
Supp doi:10.5705/ss.202017.0033
505

@