A continuous-time semi-Markov model for animal movement in a dynamic environment

DOI10.1214/20-AOAS1408zbMath1478.62331OpenAlexW3186510977MaRDI QIDQ2245156

Yanyan Li

Publication date: 15 November 2021

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

Full work available at URL: https://doi.org/10.1214/20-aoas1408

zbMATH Keywords

multiple imputationsemi-Markov modelnorthern fur sealmovement modelanimal telemetry

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Non-Markovian processes: hypothesis testing (62M07) Biological rhythms and synchronization (92B25)

Uses Software

• R
• foreach
• future
• crawl
• doFuture

Cites Work

• Criteria for Bayesian model choice with application to variable selection
• Imputation approaches for animal movement modeling
• Agent-based inference for animal movement and selection
• Bayesian inference for animal space use and other movement metrics
• Continuous-time discrete-space models for animal movement
• The Analysis of Rates and of Survivorship Using Log-Linear Models
• Covariance Analysis of Censored Survival Data Using Log-Linear Analysis Techniques
• Markov Chains
• Bayesian Model Averaging in Proportional Hazard Models: Assessing the Risk of a Stroke
• Fast Stable Restricted Maximum Likelihood and Marginal Likelihood Estimation of Semiparametric Generalized Linear Models
• Multiple Imputation for Interval Estimation From Simple Random Samples With Ignorable Nonresponse
• Bayes Factors
• Making Recursive Bayesian Inference Accessible
• Hierarchical animal movement models for population‐level inference

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