【期刊信息】Foundations of Data Science, Volume 7, Issue 4, 2025

摘要

Preface
Arnaud Doucet, Víctor Elvira, Fredrik Lindsten and Joaquín Miguez

Noise calibration for SPDEs: A case study for the rotating shallow water model
Dan Crisan, Oana Lang, Alexander Lobbe, Peter-Jan van Leeuwen and Roland Potthast

An overview of differentiable particle filters for data-adaptive sequential Bayesian inference
Xiongjie Chen and Yunpeng Li

Global convergence of optimized adaptive importance samplers
Omer Deniz Akyildiz

Sequential Monte Carlo bandits
Iñigo Urteaga and Chris H. Wiggins

Scalable Bayesian bi-level variable selection in generalized linear models
Younès Youssfi and Nicolas Chopin

An adaptive mixture view of particle filters
Nicola Branchini and Víctor Elvira

The lifebelt particle filter for robust estimation from low-valued count data
Alice Corbella, Trevelyan J. McKinley, Paul J. Birrell, Daniela De Angelis, Anne M. Presanis, Gareth O. Roberts and Simon E. F. Spencer

Learning dynamical systems with particle stochastic approximation EM
Andreas Lindholm and Fredrik Lindsten