Statistica Sinica

Volume 35,  Number 1, January 2025 

Corresponding author*
General
	Slicing-Free Inverse Regression in High-Dimensional Sufficient Dimension Reduction Qing Mai*, Xiaofeng Shao, Runmin Wang and Xin Zhang	Supp	doi:10.5705/ss.202022.0112 1
	Regression Analysis of Randomized Response Event Time Data Chi-Chung Wen* and Yi-Hau Chen	Supp	doi:10.5705/ss.202022.0320 25
	Hypotheses Testing of Functional Principal Components Zening Song, Lijian Yang* and Yuanyuan Zhang		doi:10.5705/ss.202022.0309 49
	State Space Emulation and Annealed Sequential Monte Carlo for High Dimensional Optimization Chencheng Cai* and Rong Chen	Supp	doi:10.5705/ss.202022.0120 67
	An Adaptively Resized Parametric Bootstrap for Inference in High-Dimensional Generalized Linear Models Qian Zhao* and Emmanuel J. Candes	Supp	doi:10.5705/ss.202022.0296 91
	Distributed Mean Dimension Reduction Through Semi-Parametric Approaches Zhengtian Zhu, Wangli Xu and Liping Zhu*	Supp	doi:10.5705/ss.202022.0157 111
	Semiparametric Estimation of Non-Ignorable Missingness With Refreshment Sample Jianfei Zheng, Jing Wang, Lan Xue* and Annie Qu	Supp	doi:10.5705/ss.202022.0214 131
	A Bernstein-Type Inequality for High Dimensional Linear Processes With Applications to Robust Estimation of Time Series Regressions Linbo Liu and Danna Zhang*	Supp	doi:10.5705/ss.202022.0249 151
	Mean Tests for High-dimensional Time Series Shuyi Zhang, Song Chen and Yumou Qiu	Supp	doi:10.5705/ss.202022.0147 171
	Necessary and Sufficient Conditions for Multiple Objective Optimal Regression Designs Lucy L. Gao*, Jane J. Ye, Shangzhi Zeng and Julie Zhou		doi:10.5705/ss.202022.0328 203
	Empirical Priors and Posterior Concentration in a Piecewise Polynomial Sequence Model Chang Liu, Ryan Martin and Weining Shen*	Supp	doi:10.5705/ss.202021.0335 225
	A Construction Method for Maximin L1-Distance Latin Hypercube Designs Ru Yuan, Yuhao Yin, Hongquan Xu and Min-Qian Liu*		doi:10.5705/ss.202022.0263 249
	Testing for Zero Skill in Stock Picking or Market Timing Qingsong Shan, Lei Jiang, Liang Peng and Zhongling Qin*	Supp	doi:10.5705/ss.202022.0416 273
	Power Boosting: Fusion of Multiple Test Statistics via Resampling Efang Kong*, Yu Liu and Yingcun Xia		doi:10.5705/ss.202022.0348 293
	Bandwidth Selection for Large Covariance and Precision Matrices Xuehu Zhu, Jian Guo, Xu Guo, Lixing Zhu* and Jiasen Zheng	Supp	doi:10.5705/ss.202022.0337 321
	Linear Discriminant Analysis with Sparse and Dense Signals Ning Wang, Shaokang Ren and Qing Mai*	Supp	doi:10.5705/ss.202022.0260 343
	Directional Tests in Gaussian Graphical Models Claudia Di Caterina*, Nancy Reid and Nicola Sartori		doi:10.5705/ss.202022.0394 361
	A New Preferential Model With Homophily for Recommender Systems Hanyang Tian, Bo Zhang*, Ruixue Jiang and Xiao Han	Supp	doi:10.5705/ss.202022.0136 389
	Identifying the Most Appropriate Order for Categorical Responses Tianmeng Wang and Jie Yang*	Supp	doi:10.5705/ss.202020.0322 411
	Statistical Inference for High-Dimensional Linear Regression With Blockwise Missing Data Fei Xue, Rong Ma and Hongzhe Li*	Supp	doi:10.5705/ss.202022.0104 431
	Parametric Modal Regression With Autocorrelated Error Process Tao Wang*	Supp	doi:10.5705/ss.202021.0405 457
	Efficient Learning of Nonparametric Directed Acyclic Graph With Statistical Guarantee Yibo Deng, Xin He and Shaogao Lv*	Supp	doi:10.5705/ss.202022.0272 479
	Long-Memory Log-Linear Zero-Inflated Generalized Poisson Autoregression for COVID-19 Pandemic Modeling Xiaofei Xu*, Yijiong Zhang, Yan Liu, Yuichi Goto, Masanobu Taniguchi and Ying Chen	Supp	doi:10.5705/ss.202022.0148 505
Volume 35, Online Special Issue I, Januray 2025
Corresponding author*
Data Privacy
Guest editors: Jin Lei, Aleksandra Slavković and Linjun Zhang (in alphabetical order)
	【Foreword】Data Privacy: Overview Jin Lei, Aleksandra Slavković and Linjun Zhang*		533
	One Step to Efficient Synthetic Data Jordan Awan* and Zhanrui Cai	Supp	doi:10.5705/ss.202022.0274 539
	Mechanisms for Global Differential Privacy Under Bayesian Data Synthesis Jingchen Hu*, Matthew R. Williams and Terrance D. Savitsky	Supp	doi:10.5705/ss.202022.0162 563
	Inference With Combining Rules From Multiple Differentially Private Synthetic Datasets Leila Nombo* and Anne-Sophie Charest	Supp	doi:10.5705/ss.202020.0299 585
	On Rate Optimal Private Regression Under Local Differential Privacy László Györfi and Martin Kroll*		doi:10.5705/ss.202022.0186 613
	Assessing Statistical Disclosure Risk for Differentially Private, Hierarchical Count Data, With Application to the 2020 U.S. Decennial Census Zeki Kazan* and Jerome P. Reiter	Supp	doi:10.5705/ss.202022.0187 629
	Unbiased Statistical Estimation and Valid Confidence Intervals Under Differential Privacy Christian Covington*, Xi He, James Honaker and Gautam Kamath	Supp	doi:10.5705/ss.202022.0276 651
	Differentially Private Hypothesis Testing With the Subsampled and Aggregated Randomized Response Mechanism Victor Peña* and Andrés Barrientos	Supp	doi:10.5705/ss.202022.0279 671
	Differentially Private Regularized Stochastic Convex Optimization With Heavy-Tailed Data Haihan Xie, Matthew Pietrosanu, Yi Liu, Wei Tu, Bei Jiang and Linglong Kong*	Supp	doi:10.5705/ss.202022.0282 693