WinBUGS
WinBUGS is part of the BUGS project, which aims to make practical MCMC methods available to applied statisticians. WinBUGS can use either a standard ’point-and-click’ windows interface for controlling the analysis, or can construct the model using a graphical interface called DoodleBUGS. WinBUGS is a stand-alone program, although it can be called from other software.
Keywords for this software
References in zbMATH (referenced in 402 articles , 1 standard article )
Showing results 1 to 20 of 402.
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- Huang, Yangxin; Lu, Tao: Bayesian inference on partially linear mixed-effects joint models for longitudinal data with multiple features (2017)
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- Bhadra, Anindya; Carroll, Raymond J.: Exact sampling of the unobserved covariates in Bayesian spline models for measurement error problems (2016)
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- Chan, Jennifer S.K.: Bayesian informative dropout model for longitudinal binary data with random effects using conditional and joint modeling approaches (2016)
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- Dagne, Getachew A.: Bayesian segmental growth mixture Tobit models with skew distributions (2016)
- Frenklach, Michael; Packard, Andrew; Garcia-Donato, Gonzalo; Paulo, Rui; Sacks, Jerome: Comparison of statistical and deterministic frameworks of uncertainty quantification (2016)
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- He, Lei; He, Daojiang; Cao, Mingxiang: Objective Bayesian analysis of degradation model with respect to a Wiener process (2016)
- Jingjing Yang, Peng Ren: BFDA: A Matlab Toolbox for Bayesian Functional Data Analysis (2016) arXiv