Open AccessA variational Bayes approach to a semiparametric regression using Gaussian process priors
Author(s) -
Victor M.-H. Ong,
David Kwamena Mensah,
David J. Nott,
Seongil Jo,
Beomjo Park,
Taeryon Choi
Publication year - 2017
Publication title -
electronic journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.482
H-Index - 54
ISSN - 1935-7524
DOI - 10.1214/17-ejs1324
Subject(s) - mathematics , semiparametric regression , prior probability , markov chain monte carlo , univariate , gaussian process , nonparametric regression , parametric statistics , semiparametric model , nonparametric statistics , mathematical optimization , monte carlo method , gaussian , statistics , bayesian probability , multivariate statistics , physics , quantum mechanics