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A variational Bayes approach to a semiparametric regression using Gaussian process priors

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Publication:1676789
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DOI10.1214/17-EJS1324zbMath1473.62138OpenAlexW2768082179MaRDI QIDQ1676789

Seongil Jo, Beomjo Park, Taeryon Choi, David J. Nott, Victor M. H. Ong, David K. Mensah

Publication date: 10 November 2017

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ejs/1510111112


zbMATH Keywords

model selectionGaussian processvariational Bayescosine seriesshape restricted regression


Mathematics Subject Classification ID

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


Related Items (2)

Variational inference for Bayesian bridge regression ⋮ A variational inference for the Lévy adaptive regression with multiple kernels







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