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The Influence of Prior Distributions in Modeling Conway-Maxwell-Poisson Data

Amia Graye Co-Author
Office of Biostatistics Research, NHLBI
 
Kimberly Sellers Co-Author
North Carolina State University
 
Mark Meyer First Author
Georgetown University
 
Kimberly Sellers Presenting Author
North Carolina State University
 
Thursday, Aug 8: 9:35 AM - 9:50 AM
3113 
Contributed Papers 
Oregon Convention Center 
Bayesian studies to date involving the Conway-Maxwell-Poisson (COM-Poisson) distribution have little discussion of non- and weakly-informative priors. This work considers various priors and evaluates their influence on the COM-Poisson model via an empirical study under varying dispersion types and sample sizes.

Keywords

dispersion

over-dispersion

under-dispersion

Bayesian methodology

count data 

Main Sponsor

Section on Bayesian Statistical Science