Spatial models for non-Gaussian data with covariate measurement error
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Publication:6626055
DOI10.1002/env.2545zbMATH Open1545.62949MaRDI QIDQ6626055
Publication date: 28 October 2024
Published in: Environmetrics (Search for Journal in Brave)
Cites Work
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- Small area estimation using survey weights under a nested error linear regression model with structural measurement error
- A Bayesian prediction using the skew Gaussian distribution.
- Non-Gaussian modeling of spatial data using scale mixing of a unified skew Gaussian process
- On some properties of the unified skew normal distribution
- Spatial regression with covariate measurement error: A semiparametric approach
- Geostatistical Modelling Using Non-Gaussian Matérn Fields
- Non-Gaussian spatiotemporal modelling through scale mixing
- Efficient measurement error correction with spatially misaligned data
- On the Unification of Families of Skew-normal Distributions
- Empirical Bayes Estimation of Small Area Means under a Nested Error Linear Regression Model with Measurement Errors in the Covariates
- Statistical Applications of the Multivariate Skew Normal Distribution
- The multivariate skew-normal distribution
- Bayesian Prediction of Transformed Gaussian Random Fields
- A New Spatial Skew-Normal Random Field Model
- Measurement Error in Nonlinear Models
- On Convergence Properties of the Monte Carlo EM Algorithm
- Non-Gaussian Bayesian Geostatistical Modeling
- Bayesian Analysis of Skew Gaussian Spatial Models Based on Censored Data
- On the impact of covariate measurement error on spatial regression modelling
- Measurement error in spatial exposure models: study design implications
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