Article
Reproducible parallel inference and simulation of stochastic state space models using odin, dust, and mcstate
2021-06-10
Abstract excerpt
State space models, including compartmental models, are used to model physical, biological and social phenomena in a broad range of scientific fields. A common way of representing the underlying processes in these models is as a system of stochastic processes which can be simulated forwards in time. Inference of model parameters based on observed time-series data can then be performed using sequential Monte Carlo...
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Identifiers and source
- Literature Corpus work
- 292fefac-5b46-5196-8435-4f215ca672d6
- DOI
- 10.12688/wellcomeopenres.16466.2