MCMC

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
Cite DOI URL
Programming With Models: Writing Statistical Algorithms for General Model Structures With NIMBLE
We describe NIMBLE, a system for programming statistical algorithms for general model structures within R. NIMBLE is designed to meet …
Perry de Valpine, Daniel Turek, Christopher J. Paciorek, Clifford Anderson-Bergman, Duncan Temple Lang, Rastislav Bodik
Last updated on Jun 8, 2022
Cite DOI URL
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
Cite DOI URL
Estimation of stage duration distributions and mortality under repeated cohort censuses
Many processes in nature can be viewed as arising from subjects progressing through sequential stages and may be described by …
Jonas Knape, Kent M. Daane, Perry de Valpine
Last updated on Jun 8, 2022
Cite DOI URL