Bagged Filters for Partially Observed Interacting Systems-Reference-Cited by-同舟云学术

Bagged Filters for Partially Observed Interacting Systems

Published:2021-10-04 Issue: Volume: Page:1-12
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Ionides Edward L.¹^ORCID,Asfaw Kidus¹,Park Joonha²,King Aaron A.³^ORCID

Affiliation:

1. Department of Statistics, University of Michigan, Ann Arbor, MI;

2. Department of Mathematics, University of Kansas, Lawrence, KS;

3. Department of Ecology and Evolutionary Biology & Center for the Study of Complex Systems, University of Michigan, Ann Arbor, MI

Funder

National Institutes of Health

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2021.1974867

Reference48 articles.

1. The equivalent‐weights particle filter in a high‐dimensional system

2. Asfaw, K., Ionides, E. L., and King, A. A. (2021a), “spatPomp: R Package for Statistical Inference for Spatiotemporal Partially Observed Markov Processes.” Available at https://github.com/kidusasfaw/spatPomp.

3. Curse-of-dimensionality revisited: Collapse of the particle filter in very large scale systems

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