Just Another Gibbs Sampler (JAGS)
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[1] Péter Sólymos,et al. dclone: Data Cloning in R , 2010, R J..
[2] B. Beersma,et al. A Temporal Map of Coaching , 2017, Frontiers in Psychology.
[3] D. Rubin,et al. Inference from Iterative Simulation Using Multiple Sequences , 1992 .
[4] Finn Lindgren,et al. Bayesian Spatial Modelling with R-INLA , 2015 .
[5] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[6] Andrew Thomas,et al. The BUGS project: Evolution, critique and future directions , 2009, Statistics in medicine.
[7] Jiqiang Guo,et al. Stan: A Probabilistic Programming Language. , 2017, Journal of statistical software.
[8] Radford M. Neal. MCMC Using Hamiltonian Dynamics , 2011, 1206.1901.
[9] Simon Jackman,et al. Bayesian Analysis for the Social Sciences , 2009 .
[10] Russell G. Almond,et al. A Comparison of Two MCMC Algorithms for Hierarchical Mixture Models , 2014, BMA@UAI.
[11] D. Bates,et al. Fitting Linear Mixed-Effects Models Using lme4 , 2014, 1406.5823.
[12] Joseph Hilbe,et al. Data Analysis Using Regression and Multilevel/Hierarchical Models , 2009 .
[13] Andrew Gelman,et al. The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo , 2011, J. Mach. Learn. Res..
[14] Duncan Temple Lang,et al. Programming With Models: Writing Statistical Algorithms for General Model Structures With NIMBLE , 2015, 1505.05093.
[15] John K Kruschke,et al. Bayesian data analysis. , 2010, Wiley interdisciplinary reviews. Cognitive science.
[16] Ramesh Srinivasan,et al. Individual differences in attention influence perceptual decision making , 2015, Front. Psychol..
[17] M. Plummer,et al. CODA: convergence diagnosis and output analysis for MCMC , 2006 .
[18] David B Dunson,et al. Default Prior Distributions and Efficient Posterior Computation in Bayesian Factor Analysis , 2009, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.
[19] A. Gelman,et al. Stan , 2015 .
[20] Stephen J. Roberts,et al. A tutorial on variational Bayesian inference , 2012, Artificial Intelligence Review.
[21] Matthew J. Denwood,et al. runjags: An R Package Providing Interface Utilities, Model Templates, Parallel Computing Methods and Additional Distributions for MCMC Models in JAGS , 2016 .
[22] Joachim Vandekerckhove,et al. Extending JAGS: A tutorial on adding custom distributions to JAGS (with a diffusion model example) , 2013, Behavior Research Methods.
[23] M. Plummer. JAGS Version 4.0.0 user manual , 2015 .