Monte Carlo Inference for State–Space Models of Wild Animal Populations

B. Newman, Ken; Fernández, Carmen; Thomas, Len; T. Buckland, S.

doi:10.1111/j.1541-0420.2008.01073.x

Public

Monte Carlo Inference for State–Space Models of Wild Animal Populations

Published in Biometrics • Jun 19, 2008

Authors:

Ken B. Newman

Carmen Fernández

Len Thomas

Abstract

SUMMARY: We compare two Monte Carlo (MC) procedures, sequential importance sampling (SIS) and Markov chain Monte Carlo (MCMC), for making Bayesian inferences about the unknown states and parameters of state-space models for animal populations. The procedures were applied to both simulated and real p...

Subject

Markov chain Monte Carlo

Computer science

Prior probability

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