A semiparametric Bayesian approach to simplex regression model with heterogeneous dispersion
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Publication:5087520
DOI10.1080/03610918.2018.1458129OpenAlexW2801828599MaRDI QIDQ5087520
Xing-De Duan, Yuan-Ying Zhao, An Min Tang
Publication date: 1 July 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2018.1458129
B-splinemodel comparisoncontinuous proportionsvarying dispersionsimplex distributionBayesian case-deletion diagnostics
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- A semiparametric Bayesian approach to joint mean and variance models
- Semiparametric transformation models with Bayesian P-splines
- Improved estimators for a general class of beta regression models
- Some parametric models on the simplex
- A practical guide to splines
- Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
- Beta regression models: joint mean and variance modeling
- Simplex Mixed‐Effects Models for Longitudinal Proportional Data
- Bayesian Case Influence Diagnostics for Survival Models
- Longitudinal Data Estimating Equations for Dispersion Models
- Marginal Models for Longitudinal Continuous Proportional Data
- Bayesian Measures of Model Complexity and Fit
- Bayesian analysis of outlier problems using divergence measures
- Regression analysis of proportional data using simplex distribution
- Modelling Heterogeneous Dispersion in Marginal Models for Longitudinal Proportional Data
- Bivariate beta regression models: joint modeling of the mean, dispersion and association parameters
- Bayesian estimation and influence diagnostics of generalized partially linear mixed-effects models for longitudinal data
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