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Software . 2017
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Software . 2017
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Software . 2017
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nimbleAPT: functions for adaptive parallel tempering in nimble

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 07 Oct 2017Publisher:Zenodo
Authors: David Pleydell;
Code repository: https://github.com/DRJP/nimbleAPT/tree/v1.0.1

doi: 10.5281/zenodo.1049549 , 10.5281/zenodo.1004598 , 10.5281/zenodo.4014888

nimbleAPT: functions for adaptive parallel tempering in nimble

Abstract

A small library of miscellaneous Nimble functions. Currently contains: Adaptive parallel tempering algorithm. Depends on Nimble 0.6-5 or 0.6-4.

This work was funded by the Animal Health department of the French National Institute of Agricultural Research (INRA).

Keywords

MCMC, nimble, Markov chain Monte Carlo, Nimble, parallel tempering, MCMC, adaptive Metropolis-Hastings, slice sampler, BUGS, multi-modal, Bayesian, parallel tempering

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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