Hierarchical mixture-of-experts models for count variables with excessive zeros
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Publication:5079812
DOI10.1080/03610926.2020.1811335OpenAlexW3080769936MaRDI QIDQ5079812
Myung Hyun Park, Joseph H. T. Kim
Publication date: 30 May 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2020.1811335
Uses Software
Cites Work
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- On the estimation of mixtures of Poisson regression models with large number of components
- Analysis of zero-adjusted count data
- Identifiability of finite mixtures of multinomial logit models with varying and fixed effects
- On the residual plot in a mixture model
- On estimation and influence diagnostics for zero-inflated negative binomial regression models
- Finite mixture, zero-inflated Poisson and hurdle models with application to SIDS
- Choosing initial values for the EM algorithm for finite mixtures
- A Bayesian analysis of zero-inflated generalized Poisson model
- Modelling nonlinear count time series with local mixtures of Poisson autoregressions
- Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions
- Consistent estimation of a mixing distribution
- Hierarchical mixtures-of-experts for exponential family regression models: Approximation and maximum likelihood estimation
- A mixture likelihood approach for generalized linear models
- Testing overdispersion in the zero-inflated Poisson model
- On modeling claim frequency data in general insurance with extra zeros
- Functional Form for the Zero-Inflated Generalized Poisson Regression Model
- A Score Test for Testing a Zero‐Inflated Poisson Regression Model Against Zero‐Inflated Negative Binomial Alternatives
- Mixture Densities, Maximum Likelihood and the EM Algorithm
- Variable Selection in Finite Mixture of Regression Models
- Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
- Residual Diagnostics for Mixture Models
- Mixed Poisson Regression Models with Covariate Dependent Rates
- Bayesian Inference in Mixtures-of-Experts and Hierarchical Mixtures-of-Experts Models With an Application to Speech Recognition
- A Score Test for Zero Inflation in a Poisson Distribution
- Zero‐Altered and other Regression Models for Count Data with Added Zeros
- Zero-inflated models and estimation in zero-inflated Poisson distribution
- Score test for testing zero-inflated Poisson regression against zero-inflated generalized Poisson alternatives
- Extended Poisson–Tweedie: Properties and regression models for count data
- Count Data Distributions
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