Markov Chain Monte Carlo with the Integrated Nested Laplace
Approximation

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Markov Chain Monte Carlo with the Integrated Nested Laplace Approximation

26 January 2017

V. Gómez‐Rubio

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Papers citing "Markov Chain Monte Carlo with the Integrated Nested Laplace Approximation"

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Title
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABC F. Llorente Luca Martino Jesse Read D. Delgado OffRL 165 14 0 03 Jan 2025
An Efficient Workflow for Modelling High-Dimensional Spatial Extremes Silius M. Vandeskog S. Martino R. Huser 21 4 0 03 Oct 2022
Approximating Bayes in the 21st Century G. Martin David T. Frazier Christian P. Robert 77 26 0 20 Dec 2021
Importance Sampling with the Integrated Nested Laplace Approximation Martin Outzen Berild S. Martino Virgilio Gómez-Rubio H. Rue 30 15 0 03 Mar 2021
Laplacian-P-splines for Bayesian inference in the mixture cure model O. Gressani C. Faes N. Hens 47 9 0 02 Mar 2021
Missing data analysis and imputation via latent Gaussian Markov random fields Virgilio Gómez-Rubio M. Cameletti M. Blangiardo 39 10 0 23 Dec 2019
Bayesian model averaging with the integrated nested Laplace approximation Virgilio Gómez-Rubio R. Bivand Håvard Rue BDL 143 23 0 02 Nov 2019
Integrated Nested Laplace Approximations (INLA) S. Martino A. Riebler 83 54 0 02 Jul 2019
Approximate Bayesian inference for mixture cure models E. Lázaro C. Armero V. Gómez‐Rubio 41 11 0 25 Jun 2018
Mixture model fitting using conditional models and modal Gibbs sampling V. Gómez‐Rubio 120 2 0 27 Dec 2017
Estimating Spatial Econometrics Models with Integrated Nested Laplace Approximation V. Gómez‐Rubio R. Bivand Håvard Rue 34 35 0 03 Mar 2017
Estimating the marginal likelihood with Integrated nested Laplace approximation (INLA) A. Hubin G. Storvik 80 21 0 04 Nov 2016
Mode jumping MCMC for Bayesian variable selection in GLMM A. Hubin G. Storvik 65 29 0 21 Apr 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 457 9,538 0 28 May 2015
Stability of Noisy Metropolis-Hastings F. Medina-Aguayo Anthony Lee Gareth O. Roberts 127 41 0 24 Mar 2015
Bayesian leave-one-out cross-validation approximations for Gaussian latent variable models Aki Vehtari Tommi Mononen Ville Tolvanen Tuomas Sivula Ole Winther UQCV BDL 84 77 0 23 Dec 2014
On the efficiency of pseudo-marginal random walk Metropolis algorithms Chris Sherlock Alexandre Hoang Thiery Gareth O. Roberts Jeffrey S. Rosenthal 148 191 0 27 Sep 2013
Bayesian computing with INLA: new features Thiago G. Martins Daniel P. Simpson Till Mossakowski H. Rue BDL 218 570 0 01 Oct 2012
The pseudo-marginal approach for efficient Monte Carlo computations Christophe Andrieu Gareth O. Roberts 202 895 0 31 Mar 2009