BioSpace

BioStem Technologies Highlights Alignment with FDA’s Openness to Bayesian Statistical Approaches in Clinical Research

POMPANO BEACH, Fla., Feb. 03, 2026 (GLOBE NEWSWIRE) -- BioStem Technologies, Inc. (OTC: BSEM), a leading MedTech company focused on the development, manufacturing, and commercialization of perinatal ...
CU Boulder News & Events

Harnessing Applied Mathematics and Bayesian Statistics to Protect Forests from Invasive Moths

Invasive species are among the leading threats to forests across North America. Among them, the spongy moth and Douglas-fir tussock moth are responsible for extensive damage to forests from coast to ...
IEEE

Refined Statistical Bounds for Classification Error Mismatches with Constrained Bayes Error

Abstract: In statistical classification/multiple hypothesis testing and machine learning, a model distribution estimated from the training data is usually applied to replace the unknown true ...
ahajournals.org

An Introduction to Bayesian Approaches to Trial Design and Statistics for Stroke Researchers

While the majority of stroke researchers use frequentist statistics to analyze and present their data, Bayesian statistics are becoming more and more prevalent in stroke research. As opposed to ...
Visual Studio Magazine

Implementing k-NN Classification Using C#

Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to ...
Visual Studio Magazine

Nearest Centroid Classification for Numeric Data Using C#

Here's a complete end-to-end demo of what Dr. James McCaffrey of Microsoft Research says is arguably the simplest possible classification technique. The goal of a machine learning classification ...