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Computational statistics & data analysis, ISSN 0167-9473, 11/2013, Volume 67, pp. 68 - 83
The INLA approach for approximate Bayesian inference for latent Gaussian models has been shown to give fast and accurate estimates of posterior marginals and... 
INLA | Latent Gaussian models | Approximate Bayesian inference | Approximate | Bayesian inference | Statistics & Probability | Physical Sciences | Computer Science, Interdisciplinary Applications | Technology | Computer Science | Mathematics | Science & Technology | Approximation
Journal Article
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
2010, Wiley series in computational statistics, ISBN 0470748265, xix, 357
Markov Chain Monte Carlo (MCMC) methods are now an indispensable tool in scientific computing. This book discusses recent developments of MCMC methods with an... 
Markov processes | Monte Carlo method
Book
Journal of the Royal Statistical Society. Series B, Statistical methodology, ISSN 1467-9868, 04/2009, Volume 71, Issue 2, pp. 319 - 392
Journal Article
Management science, ISSN 1526-5501, 05/2012, Volume 58, Issue 5, pp. 892 - 912
Journal Article
2018, 1, ISBN 1498732461, xxii, 408 pages
This book is the first in the literature to present the state of the art and some interesting and relevant applications of the Fuzzy Analytic Hierarchy Process... 
Approximation algorithms | Fuzzy decision making | Fuzzy mathematics | Decision making | Probability Theory & Applications | Operations Research | Fuzzy logic | Group decision making
Book
2005, Wiley Series in Probability and Statistics, ISBN 9780471679325, 322
Tools to improve decision making in an imperfect world This publication provides readers with a thorough understanding of Bayesian analysis that is grounded in... 
Bayesian statistical decision theory | Mathematical models | Econometrics | Decision making
eBook