Variable Selection and Decision Trees: The DiVaS and ALoVaS Methods
In this thesis we propose a novel modification to Bayesian decision tree methods. We provide a historical survey of the statistics and computer science research in decision trees. Our approach facilitates covariate selection explicitly in the model, something not present in previous research. We def...
Main Author: | Roberts, Lucas R. |
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Other Authors: | Statistics |
Format: | Others |
Published: |
Virginia Tech
2016
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Subjects: | |
Online Access: | http://hdl.handle.net/10919/70878 |
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