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 ...
The Lancet

Machine learning prediction of 1-year mortality in older patients with heart failure: a nationwide, multicenter, prospective cohort study

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
IEEE

A Belief Rule Base Considering Random Variables of Adaptive Membership Functions

Abstract: With its inherent causal reasoning and superior capacity for handling uncertainty, the belief rule base (BRB) has been widely applied in complex systems modeling. As a generalization of ...
GitHub

Stan_Wald: Stan probability functions for the Wald distribution

The Wald distribution (also known as the inverse Gaussian distribution) is a positively skewed unimodal distribution commonly used to model response time data (Anders, Alario, & Van Maanen, 2016; ...
Frontiers

New alpha power transformed beta distribution with its properties and applications

1 Department of Mathematics, Kotebe University of Education, Addis Ababa, Ethiopia 2 Department of Statistics, Addis Ababa University, Addis Ababa, Ethiopia The main purpose of this paper is to ...
IEEE

An Analog-Digital Hardware for Parzen-Based Nonparametric Probability Density Estimation

Abstract: Probability estimation measures the likelihood of different outcomes in a statistical context. It commonly involves estimating either the parameters or the entire distribution of a random ...
C&EN

Fortuitous Correlations in Molecular Dynamics Simulations: Their Harmful Influence on the Probability Distributions of the Main Principal Components

The Principal Component Analysis (PCA) is a procedure extensively employed in data science with diverse purposes. It has found widespread use in making sense of data collected from Molecular Dynamics ...