This publication schedule is subject to change.
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An Iterated Block Particle Filter for Inference on Coupled Dynamic Systems With Shared and Unit-Specific Parameters
Edward Ionides*, Ning Ning and Jesse Wheeler |
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doi:10.5705/ss.202022.0188
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A Langevinized Ensemble Kalman Filter for Large-Scale Dynamic Learning
Peiyi Zhang, Qifan Song and Faming Liang* |
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doi:10.5705/ss.202022.0172
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Resampling Strategy in Sequential Monte Carlo for Constrained Sampling Problems
Chencheng Cai*, Rong Chen and Ming Lin |
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doi:10.5705/ss.202022.0185
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A Divide and Conquer Sequential Monte Carlo Approach to High Dimensional Filtering
Francesca R. Crucinio* and Adam M. Johansen |
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doi:10.5705/ss.202022.0243
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Particle-Based, Rapid Incremental Smoother Meets Particle Gibbs
Gabriel Cardoso*, Eric Moulines and Jimmy Olsson |
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doi:10.5705/ss.202022.0215
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Approximating Optimal SMC Proposal Distributions in Individual-Based Epidemic Models
Lorenzo Rimella*, Christopher Jewell and Paul Fearnhead |
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doi:10.5705/ss.202022.0198
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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 |
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doi:10.5705/ss.202022.0210
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Differentiable Particle Filters with Smoothly Jittered Resampling
Yichao Li*, Wenshuo Wang, Ke Deng and Jun S. Liu |
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doi:10.5705/ss.202022.0256
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Estimating Boltzmann Averages for Protein Structural Quantities Using Sequential Monte Carlo
Zhaoran Hou and Samuel W.K. Wong* |
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doi:10.5705/ss.202022.0340
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Volume 34, Number 3, July 2024 |
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Bayesian Consistency with the Supremum Metric
Nhat Ho and Stephen G. Walker* |
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doi:10.5705/ss.202022.0062
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Robust Optimization and Inference on Manifolds
Lizhen Lin*, Drew Lazar, Bayan Saparbayeva and David Dunson |
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doi:10.5705/ss.202022.0149
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Asymptotic Behavior of the Maximum Likelihood Estimator for General Markov Switching Models
Cheng-Der Fuh and Tianxiao Pang* |
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doi:10.5705/ss.202021.0336
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An Integer Programming Algorithm for Constructing Maximin Distance Designs From Good Lattice Point Sets
Alan R. Vazquez and Hongquan Xu |
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doi:10.5705/ss.202021.0362
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Response Variable Selection in Multivariate Linear Regression
Kshitij Khare and Zhihua Su* |
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doi:10.5705/ss.202022.0127
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Nonlinear Dimension Reduction for Functional Data With Application to Clustering
Ruoxu Tan*, Yiming Zang and Guosheng Yin |
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doi:10.5705/ss.202021.0393
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Testing for Threshold Regulation in Presence of Measurement Error
Kung-Sik Chan*, Simone Giannerini, Greta Goracci and Howell Tong |
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doi:10.5705/ss.202022.0125
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Joint Modeling of Change-Point Identification and Dependent Dynamic Community Detection
Diqing Li, Yubai Yuan, Xinsheng Zhang and Annie Qu* |
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doi:10.5705/ss.202021.0182
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Scalable Estimation for High Velocity Survival Data Able to Accommodate Addition of Covariates
Ying Sheng, Yifei Sun, Charles E. McCulloch and Chiung-Yu Huang* |
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doi:10.5705/ss.202022.0028
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On Combining Individual-Level Data With Summary Data in Statistical Inferences
Lu Deng, Sheng Fu, Jing Qin and Kai Yu* |
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doi:10.5705/ss.202022.0228
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Optimal Classification for Functional Data
Shuoyang Wang, Zuofeng Shang, Guanqun Cao* and Jun S. Liu |
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doi:10.5705/ss.202022.0057
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An RKHS Approach for Pivotal Inference in Functional Linear Regression
Holger Dette* and Jiajun Tang |
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doi:10.5705/ss.202022.0086
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Functional Horseshoe Smoothing for Functional Trend Estimation
Tomoya Wakayama* and Shonosuke Sugasawa |
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doi:10.5705/ss.202022.0297
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