Extending the latent multinomial model with complex error processes and dynamic Markov bases

DOI10.1214/15-AOAS889zbMath1454.62312arXiv1504.00441OpenAlexW2963855296WikidataQ57432836 ScholiaQ57432836MaRDI QIDQ288579

Patrik Noren, Steven J. Price, Matthew R. Schofield, Simon J. Bonner

Publication date: 27 May 2016

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

Full work available at URL: https://arxiv.org/abs/1504.00441

zbMATH Keywords

Markov chain Monte Carlomark-recaptureBayesian inferenceMarkov basismisidentificationqueen snake (Regina septemvittata)

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items (1)

Extending the latent multinomial model with complex error processes and dynamic Markov bases

Uses Software

• Program MARK
• MARK

Cites Work

• Unnamed Item
• Extending the latent multinomial model with complex error processes and dynamic Markov bases
• Algebraic algorithms for sampling from conditional distributions
• Connecting the latent multinomial
• Mark‐Recapture with Multiple, Non‐Invasive Marks
• Incorporating Genotype Uncertainty into Mark-Recapture-Type Models For Estimating Abundance Using DNA Samples
• The Jolly-Seber Model with Tag Loss
• Closed‐population capture–recapture modeling of samples drawn one at a time
• Uncovering a Latent Multinomial: Analysis of Mark-Recapture Data with Misidentification

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