Finite mixtures of mean-parameterized Conway-Maxwell-Poisson models
From MaRDI portal
Publication:6579385
DOI10.1007/s00362-023-01452-xMaRDI QIDQ6579385
Publication date: 25 July 2024
Published in: Statistical Papers (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unnamed Item
- A flexible regression model for count data
- A flexible zero-inflated model to address data dispersion
- Two-way Poisson mixture models for simultaneous document classification and word clustering
- On the convergence properties of the EM algorithm
- An entropy criterion for assessing the number of clusters in a mixture model
- Consistent estimation of a mixing distribution
- Estimating the dimension of a model
- On modeling claim frequency data in general insurance with extra zeros
- Data Dispersion: Now You See It… Now You Don't
- Negative Binomial Regression
- Statistical Analysis of Financial Data in S-Plus
- Mixture Densities, Maximum Likelihood and the EM Algorithm
- Reparametrization of COM–Poisson regression models with applications in the analysis of experimental data
- How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis
- Finite mixture models
- Fitting Tweedie's Compound Poisson Model to Insurance Claims Data: Dispersion Modelling
- Orthogonality of the mean and error distribution in generalized linear models
- A flexible regression model for zero- and k-inflated count data
- A mixture model with Poisson and zero-truncated Poisson components to analyze road traffic accidents in Turkey
- Mean-parametrized Conway–Maxwell–Poisson regression models for dispersed counts
- A Useful Distribution for Fitting Discrete Data: Revival of the Conway–Maxwell–Poisson Distribution
- The Conway–Maxwell–Poisson Distribution
- Multivariate Conway-Maxwell-Poisson Distribution: Sarmanov Method and Doubly Intractable Bayesian Inference
This page was built for publication: Finite mixtures of mean-parameterized Conway-Maxwell-Poisson models