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 ...
GitHub

Exploring and eliciting probability distributions

Prior elicitation refers to the process of transforming the knowledge of a particular domain into well-defined probability distributions. Specifying useful priors is a central aspect of Bayesian ...
IEEE

Maximum Likelihood Estimation Under Constraints: Singularities and Random Critical Points

Abstract: We investigate the procedure of semi-parametric maximum likelihood estimation under constraints on summary statistics. Such a procedure results in a discrete probability distribution ...
IEEE

Stability Analysis of Probabilistic Boolean Networks With Switching Discrete Probability Distribution

Abstract: This article analyzes the stability of probabilistic Boolean networks (PBNs) with switching discrete probability distribution (DPD). First, the dynamics of PBNs with switching DPD is ...