A linear noise approximation for stochastic epidemic models fit to partially observed incidence counts-Reference-Cited by-同舟云学术

A linear noise approximation for stochastic epidemic models fit to partially observed incidence counts

Published:2021-09-07 Issue: Volume: Page:
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Fintzi Jonathan¹^ORCID,Wakefield Jon²,Minin Vladimir N.³^ORCID

Affiliation:

1. Biostatistics Research Branch National Institute of Allergy and Infectious Diseases Rockville Maryland USA

2. Departments of Biostatistics and Statistics University of Washington Seattle Washington USA

3. Department of Statistics University of California Irvine California USA

Funder

National Institute of Allergy and Infectious Diseases

National Cancer Institute

National Institute of General Medical Sciences

National Science Foundation

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13538

Reference39 articles.

1. A primer on stochastic epidemic models: Formulation, numerical simulation, and analysis

2. Anderson S. Edwards A.M. Yerlanov M. Mulberry N. Stockdale J.E. Iyaniwura S.A. et. al (2020)Estimating the impact of COVID‐19 control measures using a Bayesian model of physical distancing.PLOS Computational Biology.

3. Particle Markov chain Monte Carlo methods

4. A tutorial on adaptive MCMC

5. Compound Markov counting processes and their applications to modeling infinitesimally over-dispersed systems

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