3 D Statistical Learning

Making Bayesian Statistics Accessible to Everyone – Edition 9: Quiz on Bayesian Fundamentals (Part I)

Introduction Welcome to Edition 9 of our Bayesian series: “Making Bayesian Statistics Accessible to Everyone”. This edition is dedicated to reinforcing your understanding through a 20-question quiz, combining true/false and multiple choice formats. The questions…

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…

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…

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…

Making Statistical Concepts Accessible – Edition 1: What is a p-value, simply explained by example?

P-value, short for ‘Probability-Value,’ serves as a crucial metric in hypothesis testing, primarily assessing the strength of evidence against the null hypothesis. Let’s delve into an example: Consider a randomized clinical trial focused on the…

Making Statistical Concepts Accessible – Edition 2: Hypothesis Testing by example

In the inaugural segment of ‘Making Statistical Concepts Accessible,’ we delved into the nuanced world of p-values, providing a clear definition underscored by practical examples. For a detailed understanding, follow the link to the first…