Tree models: a Bayesian perspective
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Classical tree models represent an attempt to create nonparametric models which
have good predictive powers as well a simple structure readily comprehensible by non-
experts. Bayesian tree models have been created by a team consisting of Chipman,
George and McCulloch and second team consisting of Denison, Mallick and Smith.
Both approaches employ Green's Reversible Jump Markov Chain Monte Carlo tech-
nique to carry out a more e®ective search than the `greedy' methods used classically.
The aim of this work is to evaluate both types of Bayesian tree models from a
Bayesian perspective and compare them.
Authors
Egan, BlaiseCollections
- Theses [3822]