Výsledky vyhledávání - "MOHAMMADI, Reza"

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Modeling Alzheimer's Disease: Bayesian Copula Graphical Model from Demographic, Cognitive, and Neuroimaging Data

Autor: Vogels, Lucas, Mohammadi, Reza, Schoonhoven, Marit, Birbil, S. Ilker, Dyrba, Martin

The early detection of Alzheimer's disease (AD) requires the understanding of the relations between a wide range of disease-related features. Analyses that estimate these relations and evaluate their uncertainty are still rare. We address this gap by

Externí odkaz: http://arxiv.org/abs/2411.07745

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Bayesian Structure Learning in Undirected Gaussian Graphical Models: Literature Review with Empirical Comparison

Autor: Vogels, Lucas, Mohammadi, Reza, Schoonhoven, Marit, Birbil, S. Ilker

Gaussian graphical models provide a powerful framework to reveal the conditional dependency structure between multivariate variables. The process of uncovering the conditional dependency network is known as structure learning. Bayesian methods can me

Externí odkaz: http://arxiv.org/abs/2307.02603

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Large-scale Bayesian Structure Learning for Gaussian Graphical Models using Marginal Pseudo-likelihood

Autor: Mohammadi, Reza, Schoonhoven, Marit, Vogels, Lucas, Birbil, S. Ilker

Bayesian methods for learning Gaussian graphical models offer a comprehensive framework that addresses model uncertainty and incorporates prior knowledge. Despite their theoretical strengths, the applicability of Bayesian methods is often constrained

Externí odkaz: http://arxiv.org/abs/2307.00127

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