Bayesian Variable Selection and Estimation in Semiparametric Simplex Mixed-Effects Models with Longitudinal Proportional Data

Bayesian Variable Selection and Estimation in Semiparametric Simplex Mixed-Effects Models with Longitudinal Proportional Data

In the development of simplex mixed-effects models, random effects in these mixed-effects models are generally distributed in normal distribution. The normality assumption may be violated in an analysis of skewed and multimodal longitudinal data. In this paper, we adopt the centered Dirichlet proces...

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Hlavní autoři: Anmin Tang, Xingde Duan, Yuanying Zhao
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2022-10-01
Edice:Entropy
Témata:
simplex distribution
Gibbs sampler
Metropolis–Hastings algorithm
Dirichlet process prior
Bayesian Lasso
On-line přístup:https://www.mdpi.com/1099-4300/24/10/1466

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https://www.mdpi.com/1099-4300/24/10/1466

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