1.1k citations · 1.1k across the 5 of their papers we have counts for
3 papers · 1 filter
Sequential Monte Carlo Methods in the nimble R Package
Nicholas Michaud, Perry de Valpine, Daniel Turek +2
nimble is an R package for constructing algorithms and conducting inference on hierarchical models. The nimble package provides a unique combination of flexible model specification…
Efficient Markov Chain Monte Carlo Sampling for Hierarchical Hidden Markov Models
Daniel Turek, Perry de Valpine, Christopher J. Paciorek
Traditional Markov chain Monte Carlo (MCMC) sampling of hidden Markov models (HMMs) involves latent states underlying an imperfect observation process, and generates posterior samp…
Programming with models: writing statistical algorithms for general model structures with NIMBLE
Perry de Valpine, Daniel Turek, Christopher J. Paciorek +3
We describe NIMBLE, a system for programming statistical algorithms for general model structures within R. NIMBLE is designed to meet three challenges: flexible model specification…