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Journal of statistical software, ISSN 1548-7660, 2017, Volume 80, Issue 1, pp. 1 - 28
The brms package implements Bayesian multilevel models in R using the probabilistic programming language Stan. A wide range of distributions and link functions... 
MCMC | Stan | Bayesian inference | Multilevel model | Ordinal data | Statistics & Probability | Physical Sciences | Computer Science, Interdisciplinary Applications | Technology | Computer Science | Mathematics | Science & Technology | multilevel model | ordinal data
Journal Article
ACM Transactions on Graphics (TOG), ISSN 0730-0301, 08/2012, Volume 31, Issue 4, pp. 1 - 13
It is a long-standing problem in unbiased Monte Carlo methods for rendering that certain difficult types of light transport paths, particularly those involving... 
MCMC | specular manifold | rendering | Rendering | Specular manifold | Computer Science, Software Engineering | Technology | Computer Science | Science & Technology | Algorithms
Journal Article
Journal of statistical software, ISSN 1548-7660, 2018, Volume 85, Issue 4, pp. 1 - 30
This article describes blavaan, an R package for estimating Bayesian structural equation models (SEMs) via JAGS and for summarizing the results. It also... 
MCMC | JAGS | Lavaan | Structural equation models | Bayesian SEM | Statistics & Probability | Physical Sciences | Computer Science, Interdisciplinary Applications | Technology | Computer Science | Mathematics | Science & Technology | Statistics - Computation | structural equation models | lavaan
Journal Article
Journal of statistical software, ISSN 1548-7660, 2010, Volume 33, Issue 2, pp. 1 - 22
Generalized linear mixed models provide a flexible framework for modeling a range of data, although with non-Gaussian response variables the likelihood cannot... 
Animal model | Linear mixed model | Pedigree | MCMC | Sparse | Phylogeny | Multivariate | Statistics & Probability | Physical Sciences | Computer Science, Interdisciplinary Applications | Technology | Computer Science | Mathematics | Science & Technology | pedigree | R | sparse | multivariate | phylogeny | linear mixed model | animal model
Journal Article
Journal of environmental radioactivity, ISSN 0265-931X, 10/2018, Volume 193-194, pp. 82 - 90
Predicting the environmental fate of Cs in forest ecosystems along with the concentrations of Cs in tree parts are important for the managements of... 
ABC-MCMC | Radioecology | Forest ecosystem | FoRothCs
Journal Article
Probabilistic engineering mechanics, ISSN 0266-8920, 07/2015, Volume 41, pp. 89 - 103
Journal Article
2016, The Econometric and Tinbergen Institutes lectures, ISBN 0691161089, xix, 275
Dynamic stochastic general equilibrium (DSGE) models have become one of the workhorses of modern macroeconomics and are extensively used for academic research... 
Bayesian statistical decision theory | Equilibrium (Economics) | Stochastic analysis | Mathematical models | Econometrics | Economics | Business
Book
Water resources research, ISSN 0043-1397, 01/2012, Volume 48, Issue 1, p. n/a
Spatially distributed hydrologic models are increasingly being used to study and predict soil moisture flow, groundwater recharge, surface runoff, and river... 
MCMC | high parameter dimensionality | parallel computing | DREAM | multiple‐try | Limnology | Physical Sciences | Life Sciences & Biomedicine | Marine & Freshwater Biology | Water Resources | Environmental Sciences & Ecology | Science & Technology | Environmental Sciences | Hydrology | Uncertainty
Journal Article
Journal of statistical software, ISSN 1548-7660, 2016, Volume 69, Issue C1, pp. 1 - 24
Label switching is a well-known and fundamental problem in Bayesian estimation of mixture or hidden Markov models. In case that the prior distribution of the... 
MCMC | Label switching | Hidden Markov | Mixture models | Statistics & Probability | Physical Sciences | Computer Science, Interdisciplinary Applications | Technology | Computer Science | Mathematics | Science & Technology | Statistics - Computation | label switching | R | mixture models | hidden Markov
Journal Article
Proceedings of the National Academy of Sciences - PNAS, ISSN 1091-6490, 07/2014, Volume 111, Issue 29, pp. E2957 - E2966
Journal Article
Marketing science (Providence, R.I.), ISSN 1526-548X, 05/2009, Volume 28, Issue 3, pp. 541 - 553
Journal Article