A Bayesian Approach to Modeling Associations Between Pulsatile Hormones

DOI10.1111/j.1541-0420.2008.01117.xzbMath1167.62082OpenAlexW2016090929WikidataQ33753304 ScholiaQ33753304MaRDI QIDQ3637023

Morton B. Brown, Nichole E. Carlson, Timothy D. Johnson

Publication date: 30 June 2009

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://biostats.bepress.com/cgi/viewcontent.cgi?article=1077&context=umichbiostat

zbMATH Keywords

Bayesian analysisdeconvolutionbirth-death processmixture modelsMCMCjoint models

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Numerical analysis or methods applied to Markov chains (65C40)

Cites Work

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• Bayesian analysis of mixture models with an unknown number of components\,--\,an alternative to reversible jump methods.
• Markov chains for exploring posterior distributions. (With discussion)
• Bayesian Deconvolution Analysis of Pulsatile Hormone Concentration Profiles
• Dealing With Label Switching in Mixture Models
• Modeling of Hormone Secretion‐Generating Mechanisms with Splines: A Pseudo‐Likelihood Approach

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