Bayesian estimation of survival and capture probabilities using logit link and photoidentification data

DOI10.1016/J.CSDA.2007.03.003zbMath1446.62270OpenAlexW2065112327MaRDI QIDQ1020768

M. A. Stradioto, P. V. S. Gomes, Cibele Queiroz da-Silva

Publication date: 2 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2007.03.003

zbMATH Keywords

heterogeneityMCMCcapture-recapturelogit linkbowhead whaleopen populationsphotoidentification data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Population dynamics (general) (92D25)

Related Items (1)

Population estimates from aerial photographic surveys of naturally and variably marked bowhead whales

Uses Software

• BayesDA

Cites Work

• Inference from iterative simulation using multiple sequences
• Survival of Bowhead Whales, Balaena mysticetus, Estimated from 1981-1998 Photoidentification Data
• Bayes Factors
• Equation of State Calculations by Fast Computing Machines
• Explicit estimates from capture-recapture data with both death and immigration-stochastic model
• A note on the multiple-recapture census
• Estimates of survival from the sighting of marked animals
• Monte Carlo sampling methods using Markov chains and their applications
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Bayesian estimation of survival and capture probabilities using logit link and photoidentification data