BITE: A Bayesian Intensity Estimator

descriptionPublicationkeyboard_double_arrow_right Article 01 Sep 2003 English Publisher:Springer Science and Business Media LLCJournal:Computational Statistics, volume 18, pages 565-583 (issn: 0943-4062, eissn: 1613-9658,

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Authors: Tommi Härkänen;

doi: 10.1007/bf03354617

BITE: A Bayesian Intensity Estimator

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Abstract

The BITE software package is described which is designed for the analysis of multivariate survival data. BITE is based on hierarchical Bayes models and Markov Chain Monte Carlo techniques. Analysis of heart transplant data is considered as an example.

Related Organizations

University of Helsinki
Finland

Keywords

censoring, multivariate survival analysis, Bayesian inference, hierarchical Bayes model, Estimation in survival analysis and censored data, Markov Chain Monte Carlo, Software, source code, etc. for problems pertaining to statistics, Applications of statistics to biology and medical sciences; meta analysis

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