Continuous-time Capture–Recapture in Closed Populations
2017; Oxford University Press; Volume: 74; Issue: 2 Linguagem: Inglês
10.1111/biom.12763
ISSN1541-0420
AutoresMatthew Schofield, Richard Barker, Nicholas Gelling,
Tópico(s)Statistical Methods and Bayesian Inference
ResumoSummary The standard approach to fitting capture–recapture data collected in continuous time involves arbitrarily forcing the data into a series of distinct discrete capture sessions. We show how continuous-time models can be fitted as easily as discrete-time alternatives. The likelihood is factored so that efficient Markov chain Monte Carlo algorithms can be implemented for Bayesian estimation, available online in the R package ctime. We consider goodness-of-fit tests for behavior and heterogeneity effects as well as implementing models that allow for such effects.
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