Statistica Sinica

Volume 32,  Number 1, January 2022 

Corresponding author*
GENERAL
  Community Detection in Sparse Networks Using the Symmetrized Laplacian Inverse Matrix (SLIM)
Bingyi Jing*, Ting Li, Ningchen Ying and Xianshi Yu
Supp doi:10.5705/ss.202020.0094
1
¡@ Regularized Projection Score Estimation of Treatment Effects in High-Dimensional Quantile Regression
Chao Cheng, Xingdong Feng, Jian Huang and Xu Liu*
Supp doi:10.5705/ss.202019.0247
23
¡@ Spectral Distribution of the Sample Covariance of High-Dimensional Time Series With Unit Roots
Alexei Onatski* and Chen Wang
Supp doi:10.5705/ss.202019.0046
43
¡@ Quantile Martingale Difference Divergence for Dimension Reduction
Chung Eun Lee* and Haileab Hilafu
Supp doi:10.5705/ss.202020.0006
65
¡@ A Permutation Test for Two-Sample Means and Signal Identification of High-dimensional Data
Efang Kong, Lengyang Wang, Yingcun Xia* and Jin Liu
Supp doi:10.5705/ss.202019.0425
89
¡@ Consistent Screening Procedures in High-Dimensional Binary Classification
Hangjin Jiang, Xingqiu Zhao, Ronald C.W. Ma and Xiaodan Fan*
Supp doi:10.5705/ss.202020.0088
109
¡@ Bayesian Estimation of Gaussian Conditional Random Fields
Lingrui Gan, Naveen Narisetty* and Feng Liang
Supp doi:10.5705/ss.202020.0118
131
¡@ On Stratified Density Ratio Models
Moming Li and Guoqing Diao*
Supp doi:10.5705/ss.202019.0412
153
¡@ Correction: Derivative Principal Components for Representing the Time Dynamics of Longitudinal and Functional Data
Xiongtao Dai*, Hans-Georg Muller and Wenwen Tao
  doi:10.5705/ss.202020.0203
179
¡@ Elastic-Net Regularized High-Dimensional Negative Binomial Regression: Consistency and Weak Signal Detection
Huiming Zhang and Jinzhu Jia*
Supp doi:10.5705/ss.202019.0315
181
¡@ Some First Results on the Consistency of Spatial Regression With Partial Differential Equation Regularization
Eleonora Arnone, Alois Kneip, Fabio Nobile and Laura M. Sangalli*
  doi:10.5705/ss.202019.0346
209
¡@ Relationship Between Orthogonal and Baseline Parameterizations and Its Applications to Design Constructions
Cheng-Yu Sun and Boxin Tang*
  doi:10.5705/ss.202020.0032
239
¡@ A Unified Framework for Minimum Aberration
Ming-Chung Chang
Supp doi:10.5705/ss.202019.0416
251
¡@ Full-Semiparametric-Likelihood-Based Inference for Non-Ignorable Missing Data
Yukun Liu*, Pengfei Li and Jing Qin
Supp doi:10.5705/ss.202019.0243
271
¡@ Hypothesis Testing for Network Data With Power Enhancement
Yin Xia and Lexin Li*
Supp doi:10.5705/ss.202019.0361
293
¡@ CLT for U-statistics With Growing Dimension
Cyrus DiCiccio and Joseph Romano*
  doi:10.5705/ss.202020.0048
323
  Nonparametric Covariance Estimation for Mixed Longitudinal Studies, With Applications in Midlife Women's Health
Anru Zhang* and Kehui Chen
Supp doi:10.5705/ss.202019.0219
345
  A New Nonparametric Extension of ANOVA via Projection Mean Variance Measure
Jicai Liu, Yuefeng Si, Wenchao Xu and Riquan Zhang*
Supp doi:10.5705/ss.202020.0236
367
  Graph-Based Two-Sample Tests for Data With Repeated Observations
Jingru Zhang and Hao Chen*
Supp doi:10.5705/ss.202019.0116
391
  Power Analysis of Projection-Pursuit Independence Tests
Kai Xu and Liping Zhu*
Supp doi:10.5705/ss.202019.0457
417
  Sample Empirical Likelihood and the Design-Based Oracle Variable Selection Theory
Puying Zhao, David Haziza and Changbao Wu*
Supp doi:10.5705/ss.202019.0058
435
  Sparse Composite Quantile Regression with Ultrahigh-Dimensional Heterogeneous Data
Lianqiang Qu, Meiling Hao* and Liuquan Sun
Supp doi:10.5705/ss.202020.0115
459
  An Approximate Bayesian Approach to Model-Assisted Survey Estimation With Many Auxiliary Variables
Shonosuke Sugasawa* and Jae Kwang Kim
Supp doi:10.5705/ss.202019.0239
477
  Dimension Reduction via Adaptive Slicing
Tao Wang*
Supp doi:10.5705/ss.202019.0102
499
  Bayesian Inference on Multivariate Medians and Quantiles
Indrabati Bhattacharya* and Subhashis Ghosal
Supp doi:10.5705/ss.202020.0108
517