Mean field variational Bayesian inference for nonparametric regression with measurement error

DOI10.1016/j.csda.2013.07.014zbMath1471.62160OpenAlexW1986648226MaRDI QIDQ1615163

John T. Ormerod, Tung H. Pham, Matthew P. Wand

Publication date: 2 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2013.07.014

zbMATH Keywords

Markov chain Monte Carlopenalized splinesclassical measurement errorvariational approximations

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Bayesian inference (62F15)

Related Items

Modeling body height in prehistory using a spatio-temporal Bayesian errors-in-variables model, Exact sampling of the unobserved covariates in Bayesian spline models for measurement error problems, Transdimensional sequential Monte Carlo using variational Bayes -- SMCVB, A variational maximization-maximization algorithm for generalized linear mixed models with crossed random effects, Convergence of Griddy Gibbs sampling and other perturbed Markov chains, Categorizing a continuous predictor subject to measurement error

Uses Software

• WinBUGS
• KernSmooth
• SiZer
• PRMLT

Cites Work

• Unnamed Item
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