title: Bayesian inference for small-sample capture-recapture data.
abstract: We consider data on the survival of a population of Cephalorhynchus hectori, Hector's dolphins, in a marine area of New Zealand. To estimate survival probabilities of animal populations, a multiple capture-recapture sampling scheme can be used. In this paper, we propose a practical methodology to derive approximations to posterior distributions based on Laplace methods. We show how to calculate Bayes estimates and credible intervals in this setting.
authors: Department of Mathematics, Swiss Federal Institute of Technology, Lausanne. Valerie.Chavez@epfl.ch
authors: V
authors: V
authors: Chavez-Demoulin
mesh_terms: D000818:Animals; D001499:Bayes Theorem; D001699:Biometry; D003627:Data Interpretation, Statistical; D004289:Dolphins; D011156:Population Density; D012494:Sampling Studies; D016019:Survival Analysis