Skew Gaussian Process for Nonlinear Regression

DOI10.1080/03610926.2012.737498zbMath1310.60027OpenAlexW2025485066MaRDI QIDQ5177595

M. T. Alodat, E. Y. al-Momani

Publication date: 13 March 2015

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2012.737498

zbMATH Keywords

predictionnonlinear regressionprior distributionmultivariate closed skew normal distributionskew Gaussian process

Mathematics Subject Classification ID

Gaussian processes (60G15) General nonlinear regression (62J02)

Related Items (1)

A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with skew Gaussian processes

Cites Work

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• Statistical Applications of the Multivariate Skew Normal Distribution
• The multivariate skew-normal distribution
• Multivariate measurement error models based on scale mixtures of the skew–normal distribution
• A New Spatial Skew-Normal Random Field Model

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