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Aug 26,2025
Introduction to Statistical Decision Theory – Edition 11: A Medical Application
Introduction This edition focuses on a practical application of statistical decision theory in a medical context. We explore how a doctor can apply a randomized decision rule to minimize potential loss when diagnosing a disease…
Aug 26,2025
Introduction to Statistical Decision Theory – Edition 12: Application to Classification Decisions with Finite Hypotheses
Bayesian Classification with Finite Hypotheses In this lesson, we study how to make good classification decisions using Bayesian Decision Theory. The goal is to decide which group or class an observation belongs to, based on…
Aug 26,2025
Making Bayesian Statistics Accessible to Everyone – Edition 10: Quiz on Bayesian Fundamentals (Part II)
Introduction Welcome to the 10th Edition of Making Bayesian Statistics Accessible to Everyone. This edition contains 25 multiple choice and true/false questions that evaluate your understanding of key concepts, computations, interpretations, and applications presented in…
Jul 30,2025
Making Bayesian Statistics Accessible to Everyone – Edition 1: From Frequentist to Bayesian Statistics
Introduction Statisticians draw data from a subset of the population, known as a sample, which should be representative of the whole. Analyses are then conducted on the sample with the intention of making reliable inferences…
