Longitudinal data analysis is an essential statistical approach for studying phenomena observed repeatedly over time, allowing researchers to explore both within-subject and between-subject variations ...
Brazilian Journal of Probability and Statistics, Vol. 33, No. 4, Contributions to the Special Volume of the XIV EBEB (“Encontro Brasileiro de Estatística Bayesiana”) (2019), pp. 782-800 (19 pages) ...
New research shows large language models rival humans in learning logic-based rules, reshaping how we understand reasoning.
Empirical Bayes is a versatile approach to “learn from a lot” in two ways: first, from a large number of variables and, second, from a potentially large amount of prior information, for example, ...
Dr. Wang, who also serves as the founding director for research in the Division of Data Science, is leading efforts to create ...
A novel Bayesian Hierarchical Network Model (BHNM) is designed for ensemble predictions of daily river stage, leveraging the spatial interdependence of river networks and hydrometeorological variables ...
H. Lundbeck A/S (Lundbeck) today announced that pipeline developments regarding amlenetug, a novel investigational molecule for the potential treatment of Multiple System Atrophy (MSA), will be ...
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