The zero-inflated Conway-Maxwell-Poisson distribution: Bayesian inference, regression modeling and influence diagnostic

DOI10.1016/j.stamet.2013.11.003zbMath1486.62064OpenAlexW2034735318MaRDI QIDQ1731221

Gladys D. C. Barriga, Francisco Louzada

Publication date: 13 March 2019

Published in: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.stamet.2013.11.003

zbMATH Keywords

Bayesian inferenceKullback-Leibler distanceCOM-Poisson distributionzero-inflated models

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Exact distribution theory in statistics (62E15)

Related Items (14)

Analyzing clustered count data with a cluster-specific random effect zero-inflated Conway–Maxwell–Poisson distribution ⋮ A multilevel zero-inflated Conway–Maxwell type negative binomial model for analysing clustered count data ⋮ A flexible regression model for zero- and k-inflated count data ⋮ On zero-inflated hyper-Poisson distribution and its applications ⋮ Zero‐inflated Poisson model with clustered regression coefficients: Application to heterogeneity learning of field goal attempts of professional basketball players ⋮ Type I multivariate zero‐inflated COM–Poisson regression model ⋮ Analyzing longitudinal clustered count data with zero inflation: Marginal modeling using the Conway–Maxwell–Poisson distribution ⋮ Likelihood-based tests in zero-inflated power series models ⋮ Zero-inflated sum of Conway-Maxwell-Poissons (ZISCMP) regression ⋮ Estimation and influence diagnostics for zero-inflated hyper-Poisson regression model: full Bayesian analysis ⋮ On Zero-Inflated Alternative Hyper-Poisson Distribution ⋮ A new long-term survival model with dispersion induced by discrete frailty ⋮ Three-level zero-inflated Conway-Maxwell-Poisson regression model for analyzing dispersed clustered count data with extra zeros ⋮ Unnamed Item

Uses Software

• R

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Bayesian nonlinear regression models with scale mixtures of skew-normal distributions: estimation and case influence diagnostics
• On estimation and influence diagnostics for zero-inflated negative binomial regression models
• Robust Bayesian analysis using divergence measures
• A Score Test for Testing a Zero‐Inflated Poisson Regression Model Against Zero‐Inflated Negative Binomial Alternatives
• Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review
• The zero-inflated negative binomial regression model with correction for misclassification: an example in caries research
• Negative binomial and mixed poisson regression
• Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
• A Predictive Approach to Model Selection
• Zero‐Inflated Poisson and Binomial Regression with Random Effects: A Case Study
• Confidence Intervals for the Mean of Diagnostic Test Charge Data Containing Zeros
• Bayesian Measures of Model Complexity and Fit
• Bayesian analysis of outlier problems using divergence measures
• A Useful Distribution for Fitting Discrete Data: Revival of the Conway–Maxwell–Poisson Distribution
• Bayesian survival analysis

This page was built for publication: The zero-inflated Conway-Maxwell-Poisson distribution: Bayesian inference, regression modeling and influence diagnostic