Flexible Bayesian Dirichlet mixtures of generalized linear mixed models for count data

Flexible Bayesian Dirichlet mixtures of generalized linear mixed models for count data

The need to model count data correctly calls for introducting a flexible yet robust model that can sufficiently handle various types of count data. Models such as Ordinary Least Squares (OLS) used in the past were considered unsuitable. The introduction of the Generalized Linear Model (GLM) and its...

Full description

Bibliographic Details
Main Authors: Olumide S. Adesina, Dawud A. Agunbiade, Pelumi E. Oguntunde
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Scientific African
Subjects:
Bayesian
Counts
Mixture models
Dispersion
Medicine
Insurance
Online Access:http://www.sciencedirect.com/science/article/pii/S2468227621002672

Internet

http://www.sciencedirect.com/science/article/pii/S2468227621002672

Similar Items