Continuous-time discrete-space models for animal movement
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Publication:2349561
DOI10.1214/14-AOAS803zbMath1454.62445arXiv1211.1992OpenAlexW3099452561MaRDI QIDQ2349561
Mevin B. Hooten, Mat W. Alldredge, Ephraim M. Hanks
Publication date: 17 June 2015
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1211.1992
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Uses Software
Cites Work
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- Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
- Poisson point process models solve the ``pseudo-absence problem for presence-only data in ecology
- Bayesian analysis of mixture models with an unknown number of components\,--\,an alternative to reversible jump methods.
- 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
- Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
- Multiple Imputation After 18+ Years
- A General Framework for the Analysis of Animal Resource Selection from Telemetry Data
- The Bayesian Lasso
- Estimability and Likelihood Inference for Generalized Linear Mixed Models Using Data Cloning
- Model Selection and Estimation in Regression with Grouped Variables
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