Bayesian analysis of Jolly-Seber type models

Jolly-Seber models in MARK

The original Jolly-Seber (JS) model (Jolly, 1965; Seber, 1965) was primarily interested in estimating abundance. Since then, the focus of many mark-recapture experiments changed to estimating survival rates (but not abundance) using the Cormack-Jolly-Seber (CJS)models (Cormack, 1964; Jolly, 1965; Seber, 1965)particularlywith the publication of Lebreton et al. (1992). In previous chapters concer...

Open capture-recapture models with heterogeneity: II. Jolly-Seber model.

Estimation of abundance is important in both open and closed population capture-recapture analysis, but unmodeled heterogeneity of capture probability leads to negative bias in abundance estimates. This article defines and develops a suite of open population capture-recapture models using finite mixtures to model heterogeneity of capture and survival probabilities. Model comparisons and paramet...

A bayesian approach to the multistate Jolly-Seber capture-recapture model.

This article considers a Bayesian approach to the multistate extension of the Jolly-Seber model commonly used to estimate population abundance in capture-recapture studies. It extends the work of George and Robert (1992, Biometrika79, 677-683), which dealt with the Bayesian estimation of a closed population with only a single state for all animals. A super-population is introduced to model new ...

A comparison of abundance estimates from extended batch-marking and Jolly–Seber-type experiments

Little attention has been paid to the use of multi-sample batch-marking studies, as it is generally assumed that an individual's capture history is necessary for fully efficient estimates. However, recently, Huggins et al. (2010) present a pseudo-likelihood for a multi-sample batch-marking study where they used estimating equations to solve for survival and capture probabilities and then derive...

Supplementary Material for “Open Capture-Recapture Models with Heterogeneity: II. Jolly-Seber Model”