Estimation of the mixtures of GLMs with covariate-dependent mixing proportions

DOI10.1080/03610926.2014.975822zbMath1349.62338OpenAlexW2519342064MaRDI QIDQ2834725

Xing Wu, Conglian Yu

Publication date: 23 November 2016

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2014.975822

zbMATH Keywords

EM algorithmkernel regressiongeneralized linear modelsmixture of regression models

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12)

Cites Work

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• A note on the identifiability of nonparametric and semiparametric mixtures of GLMs
• Profile likelihood inferences on semiparametric varying-coefficient partially linear models
• A Markov model for switching regressions
• Generalized likelihood ratio statistics and Wilks phenomenon
• Mixtures of regressions with predictor-dependent mixing proportions
• Variable selection in semiparametric regression modeling
• Nonparametric Mixture of Regression Models
• Semiparametric mixture of binomial regression with a degenerate component
• Bayesian Statistics and Marketing
• Variable Selection in Finite Mixture of Regression Models
• Mixed Poisson Regression Models with Covariate Dependent Rates
• Hidden Markov Models and Disease Mapping
• Hypothesis Testing in Mixture Regression Models
• Markov chain Monte Carlo Estimation of Classical and Dynamic Switching and Mixture Models
• Mixture of Regression Models With Varying Mixing Proportions: A Semiparametric Approach

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