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

Probabilistic Interval State Estimation for Distribution System With Correlation Probability Box Depicting Stochastic Uncertainties of DG

Abstract: Stochastic uncertainty, comprising both aleatory and epistemic uncertainties, is intrinsic in the distributed generation (DG). However, existing distribution system state estimation (DSSE) ...
IEEE

Searching for Heavy-Tailed Probability Distributions for Modeling Real-World Complex Networks

Abstract: Perhaps the most recent controversial topic in network science research is to determine whether real-world complex networks are scale-free or not. Recently, Broido and Clauset [A.D. Broido, ...

Here’s How You Can Spend More During Retirement

For some retirees, making the most of their nest egg means spending as much as possible before passing away. As the saying goes, “You can’t take it with you.” And after spending decades working and ...
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 ...