IEEE

Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models

Abstract: Deep Neural Networks (DNNs) are powerful tools for various computer vision tasks, yet they often struggle with reliable uncertainty quantification — a critical requirement for real-world ...
Undark Magazine

Why the FDA Is Embracing Old Math for New Drugs

In the 20th-century statistics wars, Bayesians were underdogs. Now their methods may help speed treatments to market.
appliedclinicaltrialsonline

ACT Brief: Bayesian Implementation, Women in Statistics, and FDA Tightens Gene Therapy Standards

In today's ACT Brief, we explore the operational capabilities clinical teams need to implement Bayesian trial designs, why gender diversity strengthens data science across drug development, and the ...
IEEE

STEM-Based Bayesian Computational Learning Model-BCLM for Effective Learning of Bayesian Statistics

Abstract: This work contributes to the comprehension of Bayes’ theorem inclusive Bayesian probabilities and Bayesian inferencing within the framework of STEM (Science, Technology, Engineering, Arts, ...