Approximate pairwise likelihood inference in SGLM models with skew normal latent variables
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Publication:2043191
DOI10.1016/j.cam.2021.113692zbMath1469.62312OpenAlexW3171902651MaRDI QIDQ2043191
Publication date: 29 July 2021
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cam.2021.113692
spatial predictionapproximate inferencepairwise likelihoodspatial generalized linear mixed modelclosed skew normal
Inference from spatial processes (62M30) Linear regression; mixed models (62J05) Applications of statistics to environmental and related topics (62P12) Generalized linear models (logistic models) (62J12)
Cites Work
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- A new generalized Balakrishnan skew-normal distribution
- Bayesian spatial regression models with closed skew normal correlated errors and missing observations
- A nonlinear regression model with skew-normal errors
- On the robustness of maximum composite likelihood estimate
- Bayesian spatial prediction for discrete closed skew Gaussian random field
- The exact density of the sum of independent skew normal random variables
- Skew-Gaussian random field
- Approximate Bayesian inference in spatial GLMM with skew normal latent variables
- Pairwise likelihood inference in spatial generalized linear mixed models
- A Bayesian prediction using the skew Gaussian distribution.
- A multivariate skew normal distribution.
- On the existence of some skew-Gaussian random field models
- Bayesian analysis of spatial generalized linear mixed models with Laplace moving average random fields
- Gaussian process regression with skewed errors
- Sampling of pairs in pairwise likelihood estimation for latent variable models with categorical observed variables
- BAYESIAN PREDICTION FOR SPATIAL GENERALISED LINEAR MIXED MODELS WITH CLOSED SKEW NORMAL LATENT VARIABLES
- On Estimation and Prediction for Spatial Generalized Linear Mixed Models
- Pairwise Likelihood Inference for General State Space Models
- Residuals in Generalized Linear Models
- Model-Based Geostatistics
- The multivariate skew-normal distribution
- Approximate Inference in Generalized Linear Mixed Models
- Approximate composite marginal likelihood inference in spatial generalized linear mixed models
- Approximate likelihood inference in spatial generalized linear mixed models with closed skew normal latent variables
- A New Spatial Skew-Normal Random Field Model
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