New FDA guidance that’s a ‘huge deal’ for clinical trials

The guidance encourages the use of Bayesian statistics in drug trials. Instead of starting from scratch and only adding new ...
JSTOR Daily

Bayesian rules for the two-armed bandit problem

Recently Fox has suggested and evaluated several non-Bayesian rules for the problem of the two-armed bandit. In this paper several Bayesian rules for this problem are compared with the best of Fox's ...
Opinion

How To Speed Up the Search for Cures Through a Change in Probability Theory

The post How To Speed Up the Search for Cures Through a Change in Probability Theory appeared first on Reason.com.
Nature

Bayesian Inference and Statistical Inverse Problems

Bayesian inference provides a robust framework for combining prior knowledge with new evidence to update beliefs about uncertain quantities. In the context of statistical inverse problems, this ...
JSTOR Daily

Bayes Two-Decision Procedures for Two-Sample Problems and Rank-Order Data

A two-sample problem for rank-order data is formulated as a two-decision problem. Using the general Bayes solution, Bayes procedures are derived for several configurations of the set of states of ...
Investopedia

Understanding Prior Probability in Bayesian Statistics

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 ...