Bayesian computing with INLA: new features
From MaRDI portal
Publication:1615084
DOI10.1016/j.csda.2013.04.014zbMath1471.62135arXiv1210.0333OpenAlexW2058753770WikidataQ57266352 ScholiaQ57266352MaRDI QIDQ1615084
Thiago G. Martins, Finn Lindgren, Håvard Rue, Daniel P. Simpson
Publication date: 2 November 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1210.0333
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Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
- Approximate Bayesian inference for hierarchical Gaussian Markov random field models
- Approximate Bayesian inference for large spatial datasets using predictive process models
- Direct fitting of dynamic models using integrated nested Laplace approximations -- INLA
- Bayesian inference for additive mixed quantile regression models
- Approximate Bayesian inference in spatial GLMM with skew normal latent variables
- Spatio-temporal modeling of particulate matter concentration through the SPDE approach
- A toolbox for fitting complex spatial point process models using integrated nested Laplace approximation (INLA)
- Bayesian inference for animal space use and other movement metrics
- Approximate simulation-free Bayesian inference for multiple changepoint models with dependence within segments
- Approximate Bayesian Inference for Survival Models
- Simultaneous Credible Bands for Latent Gaussian Models
- Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
- Bayesian inference for generalized linear mixed models
- Accurate Approximations for Posterior Moments and Marginal Densities
- Bayesian Measures of Model Complexity and Fit
- Gaussian Markov Random Fields