Article

Sequential Monte Carlo methods for epidemic data

2020-01-01

Abstract excerpt

Epidemics often occur rapidly, with new cases being observed daily. Due to the frequently severe social and economic consequences of an outbreak, this is an area of research that benefits greatly from online inference. This motivates research into the construction of fast, adaptive methods for performing real-time statistical analysis of epidemic data. The aim of this thesis is to develop sequential Monte Carlo (S...

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Literature Corpus work: 5edb6af5-b0f5-53ce-ad88-c118ec3d81cb
DOI: 10.17635/lancaster/thesis/853

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