Bayes' Theorem: What It Is, Formula, and Examples

Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...
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 ...
IEEE

A Bayesian backed DeepLabV3+ Customized Hybrid-Depth Framework for Brain Tumor Segmentation and Classification

Abstract: Efficient diagnosis, treatment planning, and patient care requires that brain tumors in MRI images must be accurately segmented and classified. Many deep learning practices are used to ...
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 ...
Visual Studio Magazine

Naive Bayes Regression Using C#

The goal of a machine learning regression problem is to predict a single numeric value. There are roughly a dozen different regression techniques such as basic linear regression, k-nearest neighbors ...
Association for Psychological Science

Powerful Myths: Common Misconceptions About Statistical Power

In the wake of the replication crisis, statistical power has become one of the central issues in debates about the quality of research. The widespread use of tests with low power is seen as a key ...
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 ...