A beta-inflated mean regression model with mixed effects for fractional response variables

DOI10.1080/00949655.2018.1430801OpenAlexW2667452574MaRDI QIDQ4960657

Renzo Fernández, Luis Valdivieso, Cristian L. Bayes

Publication date: 23 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/20.500.12404/8847

zbMATH Keywords

MCMC methodsBayesian inferencemixed modelsHamiltonian Monte CarloproportionsRStanbeta-inflated distributionfractional variables

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Editorial

Uses Software

• Stan
• RStan
• zoib
• frmpd
• NUTS

Cites Work

• Unnamed Item
• Beta Regression for Modelling Rates and Proportions
• The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
• Understanding predictive information criteria for Bayesian models
• Panel data methods for fractional response variables with an application to test pass rates
• Mixed beta regression: a Bayesian perspective
• Inflated beta distributions
• A new robust regression model for proportions
• Augmented Beta rectangular regression models: A Bayesian perspective
• Bayesian Measures of Model Complexity and Fit
• A beta inflated mean regression model for fractional response variables

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