On a Robust MaxEnt Process Regression Model with Sample-Selection

On a Robust MaxEnt Process Regression Model with Sample-Selection

In a regression analysis, a sample-selection bias arises when a dependent variable is partially observed as a result of the sample selection. This study introduces a Maximum Entropy (MaxEnt) process regression model that assumes a MaxEnt prior distribution for its nonparametric regression function a...

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Bibliographic Details
Main Authors: Hea-Jung Kim, Mihyang Bae, Daehwa Jin
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:Entropy
Subjects:
Gaussian process model
hierarchical Bayesian methodology
robust sample-selection MaxEnt process regression model
Markov chain Monte Carlo
sample-selection bias
bias correction
Online Access:http://www.mdpi.com/1099-4300/20/4/262

Internet

http://www.mdpi.com/1099-4300/20/4/262

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