Detecting changes in the transmission rate of a stochastic epidemic model

Article Properties
  • Language
    English
  • DOI (url)
    10.1002/sim.10050
  • Publication Date
    2024/02/26
  • Journal
    Statistics in Medicine
  • Indian UGC (journal)
  • Refrences
    40
  • Jenny Huang Department of Statistical Science Duke University Durham North Carolina USA
  • Raphaël Morsomme Department of Statistical Science Duke University Durham North Carolina USA
  • David Dunson Department of Statistical Science Duke University Durham North Carolina USA
  • Jason Xu Department of Statistical Science Duke University Durham North Carolina USA ORCID (unauthenticated)
Abstract
Cite
Huang, Jenny, et al. “Detecting Changes in the Transmission Rate of a Stochastic Epidemic Model”. Statistics in Medicine, vol. 43, no. 10, 2024, pp. 1867-82, https://doi.org/10.1002/sim.10050.
Huang, J., Morsomme, R., Dunson, D., & Xu, J. (2024). Detecting changes in the transmission rate of a stochastic epidemic model. Statistics in Medicine, 43(10), 1867-1882. https://doi.org/10.1002/sim.10050
Huang, Jenny, Raphaël Morsomme, David Dunson, and Jason Xu. “Detecting Changes in the Transmission Rate of a Stochastic Epidemic Model”. Statistics in Medicine 43, no. 10 (2024): 1867-82. https://doi.org/10.1002/sim.10050.
Huang J, Morsomme R, Dunson D, Xu J. Detecting changes in the transmission rate of a stochastic epidemic model. Statistics in Medicine. 2024;43(10):1867-82.
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Medicine
Internal medicine
Special situations and conditions
Industrial medicine
Industrial hygiene
Medicine
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Medicine
Medicine (General)
Computer applications to medicine
Medical informatics
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Medicine (General)
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Social Sciences
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Refrences
Title Journal Journal Categories Citations Publication Date
Multiple testing in nonparametric hidden Markov models: an empirical Bayes approach 2022
Ockham's razor and Bayesian analysis American Scientist
  • Science: Science (General)
 1992
The Mathematical Theory of Infectious Diseases and its Applications 1975
Statistical Inference for Partially Observed Markov Processes via theRPackagepomp Journal of Statistical Software
  • Social Sciences: Statistics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 131 2016
Stochastic Epidemic Models and their Statistical Analysis 2012