Comparison of four expert elicitation methods : For Bayesian logistic regression and classification trees


Autoria(s): O'Leary, Rebecca; Mengersen, Kerrie; Murray, J; Low-Choy, Sama
Contribuinte(s)

RD, Anderssen

RD, Braddock

H, Newham

Data(s)

2009

Identificador

http://eprints.qut.edu.au/80684/

Publicador

The Modelling and Simulation Society of Australia and New Zealand Inc and the International Associan

Relação

O'Leary, Rebecca, Mengersen, Kerrie, Murray, J, & Low-Choy, Sama (2009) Comparison of four expert elicitation methods : For Bayesian logistic regression and classification trees. In RD, Anderssen, RD, Braddock, & H, Newham (Eds.) Proceedings: 18th World IMACS / MODSIM Congress, 13-17 July 2009, Australia, Queensland, Cairns.

Fonte

Faculty of Science and Technology

Palavras-Chave #010401 Applied Statistics #010405 Statistical Theory #Bayesian Classification and Regression Trees, Bayesian Logistic Regression, Expert Elicitation, Informative Priors
Tipo

Conference Paper