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 ...
IEEE

Analysis and Evaluation of Bayesian Statistics for Healthcare Domain

Abstract: There has been a dramatic increase in the quantity of sensory input, which is enormous and diversified in structure, due to the adoption of smart gadgets and sensors to track healthcare ...
IEEE

Speech Enhancement Based on Bayesian Low-Rank and Sparse Decomposition of Multichannel Magnitude Spectrograms

Abstract: This paper presents a blind multichannel speech enhancement method that can deal with the time-varying layout of microphones and sound sources. Since nonnegative tensor factorization (NTF) ...
GitHub

Lecture Notes: Algebraic Topology 1

This repo contains the working files for my personal lecture notes for Algebraic Topology 1 being taught in the Winter term of 2023/4 by Prof. Dr. Markus Hausmann at the University of Bonn. A compiled ...
BMJ

FDA is now “open to bayesian statistics”: transformational change or new Pandora’s box?

The US Food and Drug Administration (FDA) is now “open to bayesian statistics,” contrasting this with the frequentist approach that the agency and the drug industry have historically relied on for ...
GitHub

Bayesian Stats in Epidemiology Practical

In this repository you will find the bayesian_stats_practical.Rmd file (R markdown file) containing instructions for the practical session with examples and exercises. All data required for the ...