Efficient sequential Monte Carlo algorithms for integrated population models

In statistical ecology, state-space models are commonly used to represent the biological mechanisms by which population counts—often subdivided according to characteristics such as age group, gender or breeding status—evolve over time. As the counts are only noisily or partially observed, they are t...

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Bibliographic Details

Main Authors:	Axel Finke, Ruth King, Alexandros Beskos, Petros Dellaportas
Format:	Default Article
Published:	2019
Subjects:	Bayesian inference Capture–recapture Integrated population models Model comparison Sequential Monte Carlo State-space models
Online Access:	https://hdl.handle.net/2134/12845816.v1
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