A new regression model for bounded responses

DOI10.1214/17-BA1079zbMath1407.62279MaRDI QIDQ1631582

Sonia Migliorati, Andrea Ongaro, Agnese Maria Di Brisco

Publication date: 6 December 2018

Published in: Bayesian Analysis (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ba/1508897093

zbMATH Keywords

outliersheavy tailsmixture modelsMCMCbeta regressionproportionsflexible beta

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12) Statistics of extreme values; tail inference (62G32)

Related Items (12)

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Uses Software

• R
• WinBUGS
• BUGS
• Stan
• BayesDA

Cites Work

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• Beta Regression for Modelling Rates and Proportions
• Modeling heavy-tailed, skewed and peaked uncertainty phenomena with bounded support
• Estimating the dimension of a model
• A structured Dirichlet mixture model for compositional data: inferential and applicative issues
• A generalization of the Dirichlet distribution
• Mixture densities for project management activity times: A robust approach to PERT
• Finite mixture and Markov switching models.
• A new robust regression model for proportions
• Diagnostic tools in beta regression with varying dispersion
• Sampling-Based Approaches to Calculating Marginal Densities
• Bayesian Modeling Using WinBUGS
• Bayesian Computation with R
• The Calculation of Posterior Distributions by Data Augmentation
• Mixture Models, Robustness, and the Weighted Likelihood Methodology
• Bayesian Measures of Model Complexity and Fit
• BAYESIAN BETA REGRESSION: APPLICATIONS TO HOUSEHOLD EXPENDITURE DATA AND GENETIC DISTANCE BETWEEN FOOT‐AND‐MOUTH DISEASE VIRUSES
• Regression analysis of variates observed on (0, 1): percentages, proportions and fractions
• Deviance information criteria for missing data models

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