NIMBLE

A flexible and efficient Bayesian implementation of point process models for spatial capture–recapture data
Spatial capture–recapture (SCR) is now routinely used for estimating abundance and density of wildlife populations. A standard SCR …
Wei Zhang, Joseph D. Chipperfield, Janine B. Illian, Pierre Dupont, Cyril Milleret, Perry de Valpine, Richard Bischof
Last updated on Feb 25, 2023
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Sequential Monte Carlo Methods in the nimble and nimbleSMC R Packages
nimble is an R package for constructing algorithms and conducting inference on hierarchical models. The nimble package provides a …
Nicholas Michaud, Perry de Valpine, Daniel Turek, Christopher J. Paciorek, Dao Nguyen
Last updated on Jun 8, 2022
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Efficient estimation of large-scale spatial capture–recapture models
Capture–recapture methods are a common tool in ecological statistics, which have been extended to spatial capture–recapture models for …
Daniel Turek, Cyril Milleret, Torbjørn Ergon, Henrik Brøseth, Pierre Dupont, Richard Bischof, Perry de Valpine
Last updated on Jun 8, 2022
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Automated Parameter Blocking for Efficient Markov Chain Monte Carlo Sampling
Markov chain Monte Carlo (MCMC) sampling is an important and commonly used tool for the analysis of hierarchical models. Nevertheless, …
Daniel Turek, Perry de Valpine, Christopher J. Paciorek, Clifford Anderson-Bergman
Last updated on Jun 8, 2022
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Efficient Markov chain Monte Carlo sampling for hierarchical hidden Markov models
Traditional Markov chain Monte Carlo (MCMC) sampling of hidden Markov models (HMMs) involves latent states underlying an imperfect …
Daniel Turek, Perry de Valpine, Christopher J. Paciorek
Last updated on Jun 8, 2022
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