Thin plate spline model under skew-normal random errors: estimation and diagnostic analysis for spatial data

DOI10.1080/00949655.2022.2090564OpenAlexW4283715339WikidataQ114642269 ScholiaQ114642269MaRDI QIDQ5887956

Germán Ibacache-Pulgar, Unnamed Author, Javier E. Contreras-Reyes

Publication date: 21 April 2023

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2022.2090564

zbMATH Keywords

automatic differentiationlocal influenceLaplace approximationsemiparametric modellingthin plate spline model (TPS)

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• SemiPar
• spBayes
• RStudio
• TMB

Cites Work

• Automatic approximation of the marginal likelihood in non-Gaussian hierarchical models
• On the convergence properties of the EM algorithm
• A note on smoothing parameter selection for penalized spline smoothing
• Chaotic systems with asymmetric heavy-tailed noise: application to 3D attractors
• Interpolation of spatial data – A stochastic or a deterministic problem?
• Accurate Approximations for Posterior Moments and Marginal Densities
• Mixed Effects Smoothing Spline Analysis of Variance
• Inference in Generalized Additive Mixed Models by Using Smoothing Splines
• Conformal Normal Curvature and Assessment of Local Influence
• Semiparametric Regression
• Thin Plate Regression Splines
• Computational aspects of the EM algorithm for spatial econometric models with missing data
• Estimation and diagnostic for skew-normal partially linear models
• Statistics for Spatial Data
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