Correcting bias in survival probabilities for partially monitored populations via integrated models

DOI10.1007/s13253-020-00423-1OpenAlexW3118753877MaRDI QIDQ2084416

Blanca Sarzo, Jonas Hentati-Sundberg, David Conesa, Ruth King

Publication date: 18 October 2022

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-020-00423-1

zbMATH Keywords

biashierarchical modelpartial monitoringcapture-recapture-recovery data

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Related Items (2)

Integrated population models: achieving their potential ⋮ When ecological individual heterogeneity models and large data collide: an importance sampling approach

Uses Software

• JAGS
• BayesDA

Cites Work

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• Integrated data analysis in the presence of emigration and mark loss
• Multi-site integrated population modelling
• Continuous Covariates in Mark-Recapture-Recovery Analysis: A Comparison of Methods
• Integrating Mark-Recapture-Recovery and Census Data to Estimate Animal Abundance and Demographic Parameters
• A New Method for Analysing Discrete Life History Data with Missing Covariate Values
• Closed-form likelihoods for Arnason-Schwarz models
• Integrated Recovery/Recapture Data Analysis
• Incorporating Animal Movement Into Distance Sampling

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