Forthcoming Issue

Forthcoming Issue Papers to appear in Volume 34, Online Special Issue I, March 2024 (Subject to change) Guest Editors: Arnaud Doucet and Jun S. Liu Corresponding author*
Sequential Monte Carlo
Foreword
Special Issue on Sequential Monte Carlo: An Overview Jun S. Liu
1. SS-2022-0172 [Supp]	doi:10.5705/ss.202022.0172
A Langevinized Ensemble Kalman Filter for Large-Scale Dynamic Learning Peiyi Zhang, Qifan Song and Faming Liang*
2. SS-2022-0243 [Supp]	doi:10.5705/ss.202022.0243
A Divide and Conquer Sequential Monte Carlo Approach to High Dimensional Filtering Francesca R. Crucinio* and Adam M. Johansen
3. SS-2022-0215 [Supp]	doi:10.5705/ss.202022.0215
Particle-Based, Rapid Incremental Smoother Meets Particle Gibbs Gabriel Cardoso*, Eric Moulines and Jimmy Olsson
4. SS-2022-0188 [Supp]	doi:10.5705/ss.202022.0188
An Iterated Block Particle Filter for Inference on Coupled Dynamic Systems With Shared and Unit-Specific Parameters Edward Ionides*, Ning Ning and Jesse Wheeler
5. SS-2022-0198 [Supp]	doi:10.5705/ss.202022.0198
Approximating Optimal SMC Proposal Distributions in Individual-Based Epidemic Models Lorenzo Rimella*, Christopher Jewell and Paul Fearnhead
6. SS-2022-0185	doi:10.5705/ss.202022.0185
Resampling Strategy in Sequential Monte Carlo for Constrained Sampling Problems Chencheng Cai*, Rong Chen and Ming Lin
7. SS-2022-0210 [Supp}	doi:10.5705/ss.202022.0210
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
8. SS-2022-0340 [Supp}	doi:10.5705/ss.202022.0340
Estimating Boltzmann Averages for Protein Structural Quantities Using Sequential Monte Carlo Zhaoran Hou and Samuel W.K. Wong*

Papers to appear in Volume 34, No. 2, April 2024 (Subject to change) Corresponding author*
General
1. SS-2021-0170 [Supp]	doi:10.5705/ss.202021.0170
Multi-Response Regression for Block-Missing Multi-Modal Data Without Imputation Haodong Wang, Quefeng Li and Yufeng Liu*
2. SS-2020-0311 [Supp]	doi:10.5705/ss.202020.0311
On the Efficiency of Composite Likelihood Estimation for Gaussian Spatial Processes Nelson J. Y. Chua*, Francis K. C. Hui and A. H. Welsh
3. SS-2021-0416 [Supp]	doi:10.5705/ss.202021.0416
Nonparametric Tests of Independence for Circular Data Based on Trigonometric Moments Eduardo Garcia-Portugues*, Pierre Lafaye de Micheaux, Simos G. Meintanis and Thomas Verdebout
4. SS-2022-0003	doi:10.5705/ss.202022.0003
Synthesis of Order-of-Addition Models Robert W. Mee*
5. SS-2022-0019 [Supp]	doi:10.5705/ss.202022.0019
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
6. SS-2021-0331	doi:10.5705/ss.202021.0331
Balanced Donor Imputation Handling Swiss Cheese Nonresponse Esther Eustache*, Audrey-Anne Vallee and Yves Tille
7. SS-2022-0070 [Supp}	doi:10.5705/ss.202022.0070
Inference for Projection-Based Wasserstein Distances on Finite Spaces Ryo Okano and Masaaki Imaizumi*
8. SS-2022-0077 [Supp}	doi:10.5705/ss.202022.0077
Spatial Autoregressive Models With Generalized Spatial Disturbances Kuangnan Fang, Wei Lan*, Dan Pu and Qingzhao Zhang
9. SS-2022-0049 [Supp}	doi:10.5705/ss.202022.0049
Quasi-Maximum Likelihood Inference for Linear Double Autoregressive Models Hua Liu, Songhua Tan and Qianqian Zhu*
10. SS-2021-0377 [Supp}	doi:10.5705/ss.202021.0377
Inference on Large-Scale Partially Functional Linear Model With Heterogeneous Errors Kaijie Xue and Fang Yao*
11. SS-2022-0008 [Supp}	doi:10.5705/ss.202022.0008
A Unified Approach to Focused Information Criterion and Plug-In Averaging Method Xinyu Zhang and Chu-An Liu*
12. SS-2021-0226 [Supp}	doi:10.5705/ss.202021.0226
Propensity Score Regression for Causal Inference With Treatment Heterogeneity Peng Wu*, Shasha Han, Xingwei Tong and Runze Li
13. SS-2021-0338 [Supp}	doi:10.5705/ss.202021.0338
Pseudo-Bayesian Approach for Quantile Regression Inference: Adaptation to Sparsity Yuanzhi Li* and Xuming He
14. SS-2022-0096 [Supp}	doi:10.5705/ss.202022.0096
Simultaneous Functional Quantile Regression Boyi Hu, Xixi Hu, Hua Liu, Jinhong You and Jiguo Cao*
15. SS-2021-0326 [Supp}	doi:10.5705/ss.202021.0326
Test of the Latent Dimension of a Spatial Blind Source Separation Model Christoph Muehlmann, Francois Bachoc, Klaus Nordhausen and Mengxi Yi*
16. SS-2021-0248 [Supp}	doi:10.5705/ss.202021.0248
Functional Threshold Autoregressive Model Yuanbo Li, Kun Chen*, Xunze Zheng and Chun-Yip Yau
17. SS-2021-0422 [Supp}	doi:10.5705/ss.202021.0422
Dynamic Copula-Based Nonparametric Estimation of Rank-Tracking Probabilities With Longitudinal Data Xiaoyu Zhang, Mixia Wu* and Colin O. Wu
18. SS-2022-0020 [Supp}	doi:10.5705/ss.202022.0020
A Perturbation Subsampling for Large Scale Data Yujing Yao and Zhezhen Jin*
19. SS-2021-0427 [Supp}	doi:10.5705/ss.202021.0427
Statistical Inference for Mean Function of Longitudinal Imaging Data Over Complicated Domains Qirui Hu and Jie Li*
20. SS-2021-0415 [Supp}	doi:10.5705/ss.202021.0415
A Unified Framework for Tuning Hyperparameters in Clustering Problems Xinjie Fan, Y. X. Rachel Wang*, Purnamrita Sarkar and Yuguang Yue
21. SS-2022-0043 [Supp}	doi:10.5705/ss.202022.0043
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*
22. SS-2021-0351 [Supp}	doi:10.5705/ss.202021.0351
Sharp Bounds for Variance of Treatment Effect Estimators in the Presence of Covariates Ruoyu Wang, Qihua Wang*, Wang Miao and Xiaohua Zhou
23. SS-2021-0386 [Supp}	doi:10.5705/ss.202021.0386
Statistical Inference for Genetic Relatedness Based on High-Dimensional Logistic Regression Rong Ma, Zijian Guo, T. Tony Cai and Hongzhe Li*
24. SS-2021-0373 [Supp}	doi:10.5705/ss.202021.0373
Integrating Incomplete Data for Mediation Analysis Andriy Derkach*, Joshua N. Sampson and Ruth M. Pfeiffer