Approximate Bayesian inference in spatial GLMM with skew normal latent variables

DOI10.1016/j.csda.2010.11.011zbMath1328.62166OpenAlexW1968475514MaRDI QIDQ901561

Fatemeh Hosseini, Mohsen Mohammadzadeh, Jo Eidsvik

Publication date: 12 January 2016

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2010.11.011

zbMATH Keywords

latent variablesgeostatisticsMCMCapproximate Bayesian inferenceskew normal distributionspatial generalized linear mixed modelclosed skew normal distribution

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12)

Related Items (17)

Bayesian computing with INLA: new features ⋮ Some properties of the unified skew-normal distribution ⋮ Approximate composite marginal likelihood inference in spatial generalized linear mixed models ⋮ Bayesian analysis of generalized linear mixed models with spatial correlated and unrestricted skew normal errors ⋮ Unnamed Item ⋮ On the existence of some skew-Gaussian random field models ⋮ Modeling additive genetic effects in animal models by closed skew normal distribution ⋮ Approximate likelihood inference in spatial generalized linear mixed models with closed skew normal latent variables ⋮ A spatial logistic regression model based on a valid skew-Gaussian latent field ⋮ Comparative study and sensitivity analysis of skewed spatial processes ⋮ A data cloning algorithm for computing maximum likelihood estimates in spatial generalized linear mixed models ⋮ Practical likelihood analysis for spatial generalized linear mixed models ⋮ Approximate Bayesian inference for large spatial datasets using predictive process models ⋮ Asymptotic normality of posterior distributions for generalized linear mixed models ⋮ BAYESIAN PREDICTION FOR SPATIAL GENERALISED LINEAR MIXED MODELS WITH CLOSED SKEW NORMAL LATENT VARIABLES ⋮ Approximate pairwise likelihood inference in SGLM models with skew normal latent variables ⋮ On a hybrid data cloning method and its application in generalized linear mixed models

Uses Software

• glmmAK

Cites Work

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