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

GNSS receiver autonomous integrity monitoring missed detection evaluation method based on Poisson distribution

Abstract: The probability of missed detection (PMD) is a crucial metric for characterizing the integrity performance of receiver autonomous integrity monitoring (RAIM). The time consumption of the ...
Visual Studio Magazine

Poisson Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demo of Poisson regression, where the goal is to predict a count of things arriving, such as the number of telephone calls ...
Digi Times

Simeon Denis Poisson's work in probability theory underpins modern AI and machine learning applications

The Poisson distribution is widely used in artificial intelligence (AI) and machine learning. In Bayesian inference, probability distributions often help solve problems that would otherwise be ...
Frontiers

A GLM-based zero-inflated generalized Poisson factor model for analyzing microbiome data

1 School of Mathematics and Statistics, Xidian University, Xi'an, China 2 School of Mathematical Sciences, Heilongjiang University, Harbin, China Motivation: High-throughput sequencing technology ...
IEEE

An Efficient Python Approach for Simulation of Poisson Distribution

Abstract: A basic understanding of probability, of its key mathematical features as well as the characteristics it presents within specific circumstances, is the aim of this paper. The action of ...