New methodology and comparisons for the analysis of binary data using Bayesian and tree based methods

Kuhnert, Petra Meta (2003) New methodology and comparisons for the analysis of binary data using Bayesian and tree based methods. PhD thesis, Queensland University of Technology.

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ID Code: 37133
Item Type: QUT Thesis (PhD)
Supervisor: Pettitt, Anthony, Mengersen, Kerrie, & Venables, Bill
Additional Information: Presented to the Centre in Statistical Science and Industrial Mathematics, School of Mathematical Sciences, Queensland University of Technology. Includes index.
Keywords: Bayesian statistical decision theory, Regression analysis, Bayesian modeling, bagging, boosting, bootstrap, classification and regression trees, cluster analysis, data mining, genetic analysis, Generalized Linear Models (GLM), Generalized Additive Models (GAM), large and complex datasets, Markov chain Monte Carlo, mixed effects models, Multiple Additive Regression Trees (MART), Multivariate Adaptive Regression Splines (MARS), recursive partitioning, Recursive Partitioning and Regression Trees (RPART), reliability, Reversible Jump MCMC, spatial modelling, thesis, doctoral
Institution: Queensland University of Technology
Copyright Owner: Copyright Petra Meta Kuhnert
Deposited On: 22 Sep 2010 13:07
Last Modified: 25 Aug 2016 06:12

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