Statistica Sinica

Volume 34,  Number 2, April 2024 

Corresponding author*
GENERAL
	Multi-Response Regression for Block-Missing Multi-Modal Data Without Imputation Haodong Wang, Quefeng Li and Yufeng Liu*	Supp	doi:10.5705/ss.202021.0170 527
	On the Efficiency of Composite Likelihood Estimation for Gaussian Spatial Processes Nelson J. Y. Chua*, Francis K. C. Hui and A. H. Welsh	Supp	doi:10.5705/ss.202020.0311 547
	Nonparametric Tests of Independence for Circular Data Based on Trigonometric Moments Eduardo Garcia-Portugues*, Pierre Lafaye de Micheaux, Simos G. Meintanis and Thomas Verdebout	Supp	doi:10.5705/ss.202021.0416 567
	Synthesis of Order-of-Addition Models Robert W. Mee*		doi:10.5705/ss.202022.0003 589
	A Systematic View of Information-Based Optimal Subdata Selection: Algorithm Development, Performance Evaluation, and Application in Financial Data Li He, William Li*, Difan Song and Min Yang	Supp	doi:10.5705/ss.202022.0019 611
	Balanced Donor Imputation Handling Swiss Cheese Nonresponse Esther Eustache*, Audrey-Anne Vallee and Yves Tille		doi:10.5705/ss.202021.0331 637
	Inference for Projection-Based Wasserstein Distances on Finite Spaces Ryo Okano and Masaaki Imaizumi*	Supp	doi:10.5705/ss.202022.0070 657
	Inference on Large-Scale Partially Functional Linear Model With Heterogeneous Errors Kaijie Xue and Fang Yao*	Supp	doi:10.5705/ss.202022.0077 679
	Quasi-Maximum Likelihood Inference for Linear Double Autoregressive Models Hua Liu, Songhua Tan and Qianqian Zhu*	Supp	doi:10.5705/ss.202022.0049 699
	Spatial Autoregressive Models With Generalized Spatial Disturbances Kuangnan Fang, Wei Lan*, Dan Pu and Qingzhao Zhang	Supp	doi:10.5705/ss.202021.0377 725
	Propensity Score Regression for Causal Inference With Treatment Heterogeneity Peng Wu, Shasha Han, Xingwei Tong and Runze Li*	Supp	doi:10.5705/ss.202022.0008 747
	A Unified Approach to Focused Information Criterion and Plug-In Averaging Method Xinyu Zhang and Chu-An Liu*	Supp	doi:10.5705/ss.202021.0266 771
	Pseudo-Bayesian Approach for Quantile Regression Inference: Adaptation to Sparsity Yuanzhi Li* and Xuming He	Supp	doi:10.5705/ss.202021.0338 793
	Functional Threshold Autoregressive Model Yuanbo Li, Kun Chen*, Xunze Zheng and Chun Yip Yau	Supp	doi:10.5705/ss.202022.0096 817
	Test of the Latent Dimension of a Spatial Blind Source Separation Model Christoph Muehlmann, Francois Bachoc, Klaus Nordhausen and Mengxi Yi*	Supp	doi:10.5705/ss.202021.0326 837
	Simultaneous Functional Quantile Regression Boyi Hu, Xixi Hu, Hua Liu, Jinhong You and Jiguo Cao*	Supp	doi:10.5705/ss.202021.0248 867
	Dynamic Copula-Based Nonparametric Estimation of Rank-Tracking Probabilities With Longitudinal Data Xiaoyu Zhang, Mixia Wu* and Colin O. Wu	Supp	doi:10.5705/ss.202021.0422 889
	A Perturbation Subsampling for Large Scale Data Yujing Yao and Zhezhen Jin*	Supp	doi:10.5705/ss.202022.0020 911
	A Unified Framework for Tuning Hyperparameters in Clustering Problems Xinjie Fan, Y. X. Rachel Wang*, Purnamrita Sarkar and Yuguang Yue	Supp	doi:10.5705/ss.202021.0427 933
	Statistical Inference for Mean Function of Longitudinal Imaging Data Over Complicated Domains Qirui Hu and Jie Li*	Supp	doi:10.5705/ss.202021.0415 955
	On Estimation of the Logarithm of the Mean Squared Prediction Error of a Mixed-Effect Predictor Jianling Wang, Thuan Nguyen, Yihui Luan and Jiming Jiang*	Supp	doi:10.5705/ss.202022.0043 983
	Sharp Bounds for Variance of Treatment Effect Estimators in the Presence of Covariates Ruoyu Wang, Qihua Wang*, Wang Miao and Xiaohua Zhou	Supp	doi:10.5705/ss.202021.0351 999
	Statistical Inference for Genetic Relatedness Based on High-Dimensional Logistic Regression Rong Ma, Zijian Guo, T. Tony Cai and Hongzhe Li*	Supp	doi:10.5705/ss.202021.0386 1023
	Integrating Incomplete Data for Mediation Analysis Andriy Derkach*, Joshua N. Sampson and Ruth M. Pfeiffer	Supp	doi:10.5705/ss.202021.0373 1045
Volume 34, Online Special Issue, April 2024
Corresponding author*
Sequential Monte Carlo
Guest editors: Arnaud Doucet and Jun S. Liu
	Foreword: An Overview Jun S. Liu		1067
	A Langevinized Ensemble Kalman Filter for Large-Scale Dynamic Learning Peiyi Zhang, Qifan Song and Faming Liang*	Supp	doi:10.5705/ss.202022.0172 1071
	A Divide and Conquer Sequential Monte Carlo Approach to High Dimensional Filtering Francesca R. Crucinio* and Adam M. Johansen	Supp	doi:10.5705/ss.202022.0243 1093
	Particle-Based, Rapid Incremental Smoother Meets Particle Gibbs Gabriel Cardoso*, Eric Moulines and Jimmy Olsson	Supp	doi:10.5705/ss.202020.0215 1115
	An Iterated Block Particle Filter for Inference on Coupled Dynamic Systems With Shared and Unit-Specific Parameters Edward Ionides*, Ning Ning and Jesse Wheeler	Supp	doi:10.5705/ss.202022.0188 1145
	Approximating Optimal SMC Proposal Distributions in Individual-Based Epidemic Models Lorenzo Rimella*, Christopher Jewell and Paul Fearnhead	Supp	doi:10.5705/ss.202022.0198 1167
	Resampling Strategy in Sequential Monte Carlo for Constrained Sampling Problems Chencheng Cai*, Rong Chen and Ming Lin		doi:10.5705/ss.202022.0185 1187
	De-Biasing Particle Filtering for a Continuous Time Hidden Markov Model With a Cox Process Observation Model Ruiyang Jin*, Sumeetpal S. Singh and Nicolas Chopin	Supp	doi:10.5705/ss.202022.0210 1215
	Differentiable Particle Filters With Smoothly Jittered Resampling Yichao Li*, Wenshuo Wang, Ke Deng and Jun S. Liu	Supp	doi:10.5705/ss.202022.0256 1241
	Estimating Boltzmann Averages for Protein Structural Quantities Using Sequential Monte Carlo Zhaoran Hou and Samuel W.K. Wong*	Supp	doi:10.5705/ss.202022.0340 1263