Tau-leaped Particle Learning
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How to Cite

Niemi, J., & Ludkovski, M. (2013). Tau-leaped Particle Learning. Online Journal of Public Health Informatics, 5(1). https://doi.org/10.5210/ojphi.v5i1.4575

Abstract

Development of effective policy interventions to stem disease outbreaks requires knowledge of the current state of affairs, e.g. how many individuals are currently infected, a strain's virulence, etc, as well as our uncertainty of these values. A Bayesian inferential approach provides this information, but at a computational expense. We develop a sequential Bayesian approach based on an epidemiological compartment model and noisy count observations of the transitions between compartments.
https://doi.org/10.5210/ojphi.v5i1.4575
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