In the present work we consider a more general model namely the zero-inflated generalized Poisson model in a Bayesian framework.
This model provides a useful generalization of zero-inflated Poisson model since the generalized Poisson distribution is overdispersed/underdispersed relative ...
Angers, Jean-Francois & Biswas, Atanu, 2003. "A Bayesian analysis of zero-inflated generalized Poisson model," Computational Statistics & Data Analysis, ...
People also ask
What is a zero-inflated model in Bayesian?
What is zero-inflated generalized Poisson model?
What is zero inflated Poisson mixture model?
What is the Bayesian inference Poisson process?
Angers and Biswas (2003) investigated the fit of ZIGP regression model under a Bayesian framework where they discussed the use of noninformative priors to ...
Jan 6, 2021 · This study aimed to assess the under-five child mortality and modeling Bayesian zero-inflated regression model of the determinants of under-five child ...
May 29, 2024 · We propose a GLM-based zero-inflated generalized Poisson factor analysis (GZIGPFA) model to analyze microbiome data with complex characteristics.
We present a novel Bayesian approach for analyzing such data. In order to model these features, we combine the Conway-Maxwell-Poisson distribution which allows ...
In this article we propose a multiple-inflation Poisson regression to model count response data containing excessive frequencies at more than one ...
Bayesian modeling for count data is to analyze an epidemiological risk as spatially and temporally varying, e.g. Dengue Hemorrhagic Fever (DHF). The.
This article examines two alternative specifications for estimating event-count models in which the data-generating process results in a larger number of zero ...