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2005, Monographs on statistics and applied probability (Series), ISBN 9781584884323, Volume 104, 263
Gaussian Markov Random Field (GMRF) models, most widely used in spatial statistics are presented in this, the first book on the subject that provides a unified... 
Gaussian Markov random fields
Book
Journal of Statistical Software, ISSN 1548-7660, 2015, Volume 63, Issue 19, pp. 1 - 25
Journal Article
Journal of the Royal Statistical Society. Series B (Statistical Methodology), ISSN 1369-7412, 9/2011, Volume 73, Issue 4, pp. 423 - 498
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 2015, Volume 63, Issue 20, pp. 1 - 31
The integrated nested Laplace approximation (INLA) provides an interesting way of approximating the posterior marginals of a wide range of Bayesian... 
INLA | Spatial statistics | NESTED LAPLACE APPROXIMATIONS | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | spatial statistics | APPROXIMATE BAYESIAN-INFERENCE | MODELS | PACKAGE | STATISTICS & PROBABILITY
Journal Article
Computational Statistics and 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 | NESTED LAPLACE APPROXIMATIONS | INFECTIONS | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | LINEAR MIXED MODELS | STATISTICS & PROBABILITY | INFERENCE | Approximation
Journal Article
Biostatistics, ISSN 1465-4644, 07/2010, Volume 11, Issue 3, pp. 397 - 412
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 2015, Volume 63, Issue 19
Journal Article
Environmetrics, ISSN 1180-4009, 08/2018, Volume 29, Issue 5-6, p. e2457
Journal Article
Journal of Time Series Analysis, ISSN 0143-9782, 11/2017, Volume 38, Issue 6, pp. 923 - 935
Journal Article
Pattern Analysis and Applications, ISSN 1433-7541, 2019, Volume 23, Issue 1, pp. 225 - 237
In this paper we consider the problem of tracking multiple quantiles of dynamicallyvarying data stream distributions. The method is based on making incremental... 
Incremental algorithm | Quantile tracking | Multiple quantiles | Dynamic environment | Incremental algorithms | Dynamic environments
Journal Article
Statistical Science, ISSN 0883-4237, 5/2015, Volume 30, Issue 2, pp. 164 - 166
Statistical Science 2015, Vol. 30, No. 2, 164-166 Discussion of "Cross-Covariance Functions for Multivariate Geostatistics" by Genton and Kleiber... 
STATISTICS & PROBABILITY | Statistics - Methodology
Journal Article
Statistics in Medicine, ISSN 0277-6715, 08/2017, Volume 36, Issue 19, pp. 3039 - 3058
Journal Article
Journal of the Royal Statistical Society. Series B (Statistical Methodology), ISSN 1369-7412, 1/2001, Volume 63, Issue 2, pp. 325 - 338
Journal Article
Journal of Time Series Analysis, ISSN 0143-9782, 11/2017, Volume 38, Issue 6, pp. 923 - 935
Journal Article
Electronic Journal of Statistics, ISSN 1935-7524, 08/2015, Volume 9, Issue 2, pp. 2706 - 2731
We introduce a new copula-based correction for generalized linear mixed models (GLMMs) within the integrated nested Laplace approximation (INLA) approach for... 
Copulas | Latent Gaussian models | Generalized linear mixed models | Integrated nested laplace approximation | Bayesian computation | integrated nested Laplace approximation | LINEAR MIXED MODELS | LAPLACE APPROXIMATION | STATISTICS & PROBABILITY | latent Gaussian models | generalized linear mixed models | copulas
Journal Article