Adjusting for Selection Bias Using Gaussian Process Models

Adjusting for Selection Bias Using Gaussian Process Models

This thesis develops techniques for adjusting for selection bias using Gaussian process models. Selection bias is a key issue both in sample surveys and in observational studies for causal inference. Despite recently emerged techniques for dealing with selection bias in high-dimensional or complex s...

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Bibliographic Details
Main Author: Du, Meng
Other Authors: Neal, Radford
Language:en_ca
Published: 2014
Subjects:
selection bias
confounding bias
Gaussian process models
Bayesian analysis
sample survey
causal inference
observational studies
0463
Online Access:http://hdl.handle.net/1807/65656

Internet

http://hdl.handle.net/1807/65656

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