A Product Partition Model With Regression on Covariates

We propose a probability model for random partitions in the presence of covariates. In other words, we develop a model-based clustering algorithm that exploits available covariates. The motivating application is predicting time to progression for patients in a breast cancer trial. We proceed by repo...

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Veröffentlicht in:	Journal of computational and graphical statistics Jg. 20; H. 1; S. 260 - 278
Hauptverfasser:	Müller, Peter, Quintana, Fernando, Rosner, Gary L.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Taylor & Francis 01.03.2011 JCGS Management Committee of the American Statistical Association, Institute of Mathematical Statistics, and Interface Foundation of North America Taylor & Francis Ltd
Schlagworte:	Bayesian Nonparametrics Clustering Inference Linear regression Mathematical models Modeling Nonparametric Bayes Nonparametric models Optimization algorithms Parametric models Predictive modeling Probabilities Probability distribution Random variables Regression analysis Spatial models Statistical models Studies Tumors Variable selection
ISSN:	1061-8600, 1537-2715
Online-Zugang:	Volltext
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