Modeling Capture-Recapture Data via Bayes involves specifying the likelihood of the survival + encounter probabilities and the priors on the parameters. A natural extension of a plain vanilla model is to make the survival probabilities time dependent. The paper titled, “Autoregressive models for capture–recapture data: A Bayesian approach”, is about modeling the survival probabilities by taking various covariates such as time and random effects.

The following document contains a brief summary of the paper :

Bayesian Model for Capture-Recapture Data