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A fully Bayesian approach to inference for Coxian phase-type distributions with covariate dependent mean

descriptionPublicationkeyboard_double_arrow_right Article 01 Oct 2009 Australia English Publisher:Elsevier BVJournal:Computational Statistics & Data Analysis, volume 53, pages 4,311-4,321 (issn: 0167-9473, Copyright policy )
Authors: Clare A. McGrory; Anthony N. Pettitt; Malcolm J. Faddy;

doi: 10.1016/j.csda.2009.05.021

A fully Bayesian approach to inference for Coxian phase-type distributions with covariate dependent mean

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

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Australia
Related Organizations
Keywords

Phase Type Distributions, Statistics & Probability, Markov processes: estimation; hidden Markov models, Bayesian inference, COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS, 310, RJMCMC, Computer Science, Interdisciplinary Applications, Computer Science, Interdisciplinary Applications, Numerical analysis or methods applied to Markov chains, STATISTICS & PROBABILITY, Computational methods for problems pertaining to statistics, Bayesian Statistics, Mathematics

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 20
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Top 10%
Average
Green
bronze