A Partially Linear Model Using a Gaussian Process Prior

DOI10.1080/03610918.2013.833226zbMath1327.62137OpenAlexW1972132346MaRDI QIDQ2943791

Taeryon Choi, Yoonsung Woo

Publication date: 4 September 2015

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2013.833226

zbMATH Keywords

covariance functionmodel comparisonGaussian process regressionpartially linear modelmarginal likelihoods

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Bayesian inference (62F15)

Related Items

On asymptotic properties of Bayesian partially linear models ⋮ A note on Bayes factor consistency in partial linear models ⋮ Functional Horseshoe Priors for Subspace Shrinkage ⋮ Adaptive Bayesian nonparametric regression using a kernel mixture of polynomials with application to partial linear models

Uses Software

• BayesX
• PRMLT

Cites Work

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