Bayesian nonparametric methods for causal inference and prediction /
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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Other Authors: | , , , |
Format: | Thesis Book |
Language: | English |
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