Bayesian Nonparametric Methods for Causal Inference and Prediction /

Bayesian Nonparametric Methods for Causal Inference and Prediction /

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In this thesis we present novel approaches to regression and causal inference using popular Bayesian nonparametric methods. Bayesian Additive Regression Trees (BART) is a Bayesian machine learning algorithm in which the conditional distribution is modeled as a sum of regression trees. We extend BART...

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Bibliographic Details
Main Author: Zeldow, Bret Michael (Author)
Other Authors: III, Vincent Lo Re (degree committee member), Léonard, Charles, 1927-2020 (degree committee member), Mitra, Nandita (degree committee member), Stephens-Shields, Alisa (degree committee member)
Format: Thesis Book
Language:English
Published: [Philadelphia, Pennsylvania]: Ann Arbor : University of Pennsylvania ; ProQuest Dissertations & Theses, 2017
Subjects:
Biostatistics
Epidemiology and Biostatistics > Penn dissertations
Epidemiology
Penn dissertations > Epidemiology and Biostatistics
Academic theses

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