A finite mixture mixed proportion regression model for classification problems in longitudinal voting data

DOI10.1080/02664763.2021.1998392OpenAlexW3212820770MaRDI QIDQ6107623

Jorge Luis Bazán, Victor Hugo Lachos, Rosineide F. da Paz, Dey, Dipak K.

Publication date: 3 July 2023

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10013363

zbMATH Keywords

classificationmixture modelBayesian methodsL-logistic mixed model

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Generating random correlation matrices based on vines and extended onion method
• A Markov model for switching regressions
• A quantile parametric mixed regression model for bounded response variables
• L-logistic regression models: prior sensitivity analysis, robustness to outliers and applications
• Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling
• Bayesian estimation for a mixture of simplex distributions with an unknown number of components: HDI analysis in Brazil

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