Search Results - "Gibbs sampling algorithm"

Hierarchical Network Models for Exchangeable Structured Interaction Processes by Dempsey, Walter, Oselio, Brandon, Hero, Alfred

“… Scientific articles, on the other hand, may have multiple subject areas and multiple authors…”
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Bayesian density regression by Dunson, David B., Pillai, Natesh, Park, Ju-Hyun

“… A Gibbs sampling algorithm is developed for posterior computation. The methods are illustrated by using simulated data examples and an epidemiologic application…”
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A Bayesian spatial model for imaging genetics by Song, Yin, Ge, Shufei, Cao, Jiguo, Wang, Liangliang, Nathoo, Farouk S.

“…) and a set of 486 single nucleotide polymorphism (SNPs) from 33 Alzheimer's disease (AD) candidate genes obtained from 632 subjects…”
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A Bayesian approach for subgroup analysis by Li, Nan, Zhu, Wensheng

“…Several penalization approaches have been developed to identify homogeneous subgroups based on a regression model with subject…”
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A Bayesian multiple imputation approach to bivariate functional data with missing components by Jang, Jeong Hoon, Manatunga, Amita K., Chang, Changgee, Long, Qi

“…‐subject correlations. We develop…”
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A two-stage variable selection and classification approach for Parkinson’s disease detection by using voice recording replications by Naranjo, Lizbeth, Pérez, Carlos J., Martín, Jacinto, Campos-Roca, Yolanda

“…•The motivating problem is the discrimination of people with PD from healthy subjects…”
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A semi‐parametric Bayesian model for semi‐continuous longitudinal data by Ren, Junting, Tapert, Susan, Fan, Chun Chieh, Thompson, Wesley K.

“… The model includes random effects of subjects to allow for application to longitudinal data…”
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A new Bayesian joint model for longitudinal count data with many zeros, intermittent missingness, and dropout with applications to HIV prevention trials by Wu, Jing, Chen, Ming‐Hui, Schifano, Elizabeth D., Ibrahim, Joseph G., Fisher, Jeffrey D.

“…In longitudinal clinical trials, it is common that subjects may permanently withdraw from the study (dropout…”
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Bayesian nonparametric multiway regression for clustered binomial data by Lock, Eric F, Bandyopadhyay, Dipankar

“… (PD) data. Our outcome is the number of diseased sites measured over four different tooth types for each subject, with subject-specific covariates available as predictors…”
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A functional multiple imputation approach to incomplete longitudinal data by He, Yulei, Yucel, Recai, Raghunathan, Trivellore E.

“… We develop a Gibbs sampling algorithm to draw model parameters and imputations for missing values, using a blocking technique for an increased computational efficiency…”
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Clustering Gene Expressions Using the Table Invitation Prior by Harrison, Charles W., He, Qing, Huang, Hsin-Hsiung

“… an analyst’s intervention for estimating hyperparameters. A Gibbs sampling algorithm is provided, and TIP is used in conjunction with a Normal-Inverse-Wishart likelihood…”
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An Isotonic Partial Credit Model for Ordering Subjects on the Basis of Their Sum Scores by Ligtvoet, Rudy

“…In practice, the sum of the item scores is often used as a basis for comparing subjects…”
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A Bayesian Model for Co-clustering Ordinal Data with Informative Missing Entries by Giampino, Alice, Canale, Antonio, Nipoti, Bernardo

“… Our model exploits the flexibility of two independent Dirichlet processes, allowing us to infer potentially distinct subpopulations that characterize the latent structure of both subjects and variables…”
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Bayesian path specific frailty models for multi-state survival data with applications by de Castro, Mário, Chen, Ming-Hui, Zhang, Yuanye

“… An efficient Gibbs sampling algorithm is developed for drawing samples from the posterior distribution…”
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Non-linear random effects models with continuous time autoregressive errors: a Bayesian approach by De la Cruz-Mesía, Rolando, Marshall, Guillermo

“… In this way, unequally spaced observations do not present a problem in the analysis. Parameter estimation of this model is done via the Gibbs sampling algorithm…”
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Inference of stress-strength reliability based on adaptive progressive type-Ⅱ censing from Chen distribution with application to carbon fiber data by Ahmed, Essam A., Al-Essa, Laila A.

“…In this paper, we used the maximum likelihood estimation (MLE) and the Bayes methods to perform estimation procedures for the reliability of stress-strength $…”
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Nonlinear random vibration analysis: A Bayesian nonparametric approach by Tabandeh, Armin, Gardoni, Paolo

“…Random vibration analysis aims to estimate the response statistics of dynamical systems subject to stochastic excitations…”
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Modelling and estimating heterogeneous variances in threshold models for ordinal discrete data via Winbugs/Openbugs by Foulley, Jean-Louis, Jaffrézic, Florence

“… It is also shown how parameter estimation in this model can be performed with an exact procedure based on a Gibbs sampling algorithm implemented with the Winbugs/Openbugs software…”
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Topic modelling and emotion analysis of the tweets of British and American politicians on the topic of war in Ukraine by Karpina, Olena, Chen, Justin

“…This paper focuses on the content and emotive features of four politicians' posts that were published on their official Twitter accounts during the three-month…”
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Bayesian quantile regression for skew-normal linear mixed models by Aghamohammadi, A., Meshkani, M. R.

“… In most applications, it is assumed that both the random effects and the within-subjects errors are normally distributed…”
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