Understanding Prior Probability in Bayesian Statistics

Learn how prior probability informs economic theory and decision-making in Bayesian statistics. Understand its role before collecting new data.
Inverse

Make Better Decisions With Bayesian Probability, the Smart Way to Consider Risk

It’s estimated that human adults make about 35,000 decisions a day — the percentage of good decisions depends on the adult. These choices can be as banal as deciding to roll or crumple toilet paper or ...
Scientific American

What is Bayes's theorem, and how can it be used to assign probabilities to questions such as the existence of God? What scientific value does it have?

Chris Wiggins, an associate professor of applied mathematics at Columbia University, offers this explanation. A patient goes to see a doctor. The doctor performs a test with 99 percent ...
Investopedia

Bayes' Theorem: What It Is, Formula, and Examples

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
U.S. News & World Report

Bayes' Theorem Definition

Bayes' theorem, also called Bayes' rule or Bayesian theorem, is a mathematical formula used to determine the conditional probability of events. The theorem uses the power of statistics and probability ...
JSTOR Daily

An Empirical Bayes' Approach to Joint Analysis of Multiple Microarray Gene Expression Studies

With the prevalence of gene expression studies and the relatively low reproducibility caused by insufficient sample sizes, it is natural to consider joint analysis that could combine data from ...