Uncovering a Latent Multinomial: Analysis of Mark-Recapture Data with Misidentification
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Publication:3561820
DOI10.1111/j.1541-0420.2009.01244.xzbMath1187.62193OpenAlexW2102565381WikidataQ33435574 ScholiaQ33435574MaRDI QIDQ3561820
Larissa L. Bailey, Jun Yoshizaki, Kenneth H. Pollock, William A. Link
Publication date: 26 May 2010
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1541-0420.2009.01244.x
Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15)
Related Items (16)
Some applications of genetics in statistical ecology ⋮ Extending the latent multinomial model with complex error processes and dynamic Markov bases ⋮ Spatial capture-recapture with partial identity: an application to camera traps ⋮ Closed‐population capture–recapture modeling of samples drawn one at a time ⋮ Maximum likelihood estimation for model Mt,α for capture–recapture data with misidentification ⋮ Improving wildlife population inference using aerial imagery and entity resolution ⋮ A latent capture history model for digital aerial surveys ⋮ Weighted likelihood recapture estimation of detection probabilities from an ice‐based survey of bowhead whales ⋮ Bayesian dual systems population estimation for small domains ⋮ A hierarchical Bayesian approach to record linkage and population size problems ⋮ Insights into the latent multinomial model through mark-resight data on female grizzly bears with cubs-of-the-year ⋮ Probit models for capture-recapture data subject to imperfect detection, individual heterogeneity and misidentification ⋮ Spatial capture-recapture models ⋮ Connecting the latent multinomial ⋮ On the reliability of N-mixture models for count data ⋮ Mark‐Recapture with Multiple, Non‐Invasive Marks
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