When ecological individual heterogeneity models and large data collide: an importance sampling approach

DOI10.1214/23-aoas1753OpenAlexW4388072972MaRDI QIDQ6138625

Ruth King, Blanca Sarzo, Víctor Elvira

Publication date: 16 January 2024

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/23-aoas1753

zbMATH Keywords

importance samplingrandom effectsintractable likelihoodcapture-recaptureCormack-Jolly-Seber modelindividual heterogeneity

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

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• The pseudo-marginal approach for efficient Monte Carlo computations
• Capture-recapture abundance estimation using a semi-complete data likelihood approach
• Correcting bias in survival probabilities for partially monitored populations via integrated models
• Laplace approximations for capture-recapture models in the presence of individual heterogeneity
• Open Capture‐Recapture Models with Heterogeneity: I. Cormack‐Jolly‐Seber Model
• Modeling Individual Effects in the Cormack-Jolly-Seber Model: A State-Space Formulation
• On the Bayesian Estimation of a Closed Population Size in the Presence of Heterogeneity and Model Uncertainty
• Handbook of Markov Chain Monte Carlo
• A Computationally Efficient Quadrature Procedure for the One-Factor Multinomial Probit Model
• Particle Markov Chain Monte Carlo Methods
• The Use of Mixed Logit Models to Reflect Heterogeneity in Capture‐Recapture Studies
• Unified Maximum Likelihood Estimates for Closed Capture–Recapture Models Using Mixtures
• A Random-Effects Ordinal Regression Model for Multilevel Analysis
• Importance Gaussian Quadrature
• Minimum variance importance samplingviaPopulation Monte Carlo
• Monte Carlo State-Space Likelihoods by Weighted Posterior Kernel Density Estimation