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WinBUGS

WinBUGS is statistical software for Bayesian analysis using Markov chain Monte Carlo (MCMC) methods. It is based on the BUGS (Bayesian inference… 
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Related topics

Related topics

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Bayesian inference using Gibbs samplingBayesian networkBiostatisticsGibbs sampling

Papers overview

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2018
2018
Bayesian Uncertainty Quantification of Physical Models in Thermal-Hydraulics System Codes
Nuclear thermal-hydraulics (TH) system codes use several parametrized physical or empirical models to describe complex two-phase… 
Review
2011
Review
2011
Bayesian Analysis Made Simple: An Excel GUI for WinBUGS
Brief Introduction to Statistics, Bayesian Methods, and WinBUGS Bayesian Paradigm WinBUGS Why Bother Using Bayesian Methods… 
2010
2010
MCMC for Generalized Linear Mixed Models with glmmBUGS
The glmmBUGS package is a bridging tool between Generalized Linear Mixed Mod- els (GLMMs) in R and the BUGS language. It provides… 
2010
2010
Estimation of fur seal (Arctocephalus forsteri) bycatch in New Zealand trawl fisheries, 2002-03 to 2008-09
2008
2008
Skill Set Profile Clustering Based on Weighted Student Responses.
Review
2006
Review
2006
Simultaneous estimation of hunting pressure, harvest and hunter success rates using WinBUGS
The use of hierarchical Bayesian spatial models in the analysis of ecological data is increasingly prevalent. The implementation… 
2006
2006
Ambivalent about Ambivalence : A Re-examination of Heteroskedastic Probit Models December
  • 2006
  • Corpus ID: 16386290
While the derivation and estimation of heterogeneous probit models appears straightforward, the properties of such models are not… 
2006
2006
Discussion on the paper by Pardoe and Weidner
2003
2003
Uncertainty in counts and operating time in estimating Poisson occurrence rates
2002
2002
Measuring Student and School Progress with the California API
This paper focuses on interpreting the major conceptual features of California’s Academic Performance Index (API) as a coherent… 
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