Maximum Likelihood Estimation

Описание: Understanding Maximum Likelihood Estimation (MLE)

1. Introduction: Why Do We Need to Estimate Anything?
2. Setting the Stage: What is a Parametric Model?
3. The Core Idea: Finding the "Most Likely" Parameter
4. A Step-by-Step Example: The Coin Flip
5. A Handy Shortcut: Using the Log-Likelihood
6. Expanding the Concept: MLE for Continuous Data