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Maximum Likelihood Estimation

Professor Knudson via YouTube

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Overview

This course covers the basics of Maximum Likelihood Estimation (MLE) and provides examples of applying MLE to different probability distributions such as Binomial, Poisson, and Uniform. By the end of the course, students will be able to understand the concept of MLE, apply it to various scenarios, and interpret the results. The teaching method involves theoretical explanations followed by practical examples. This course is intended for individuals interested in statistics, data analysis, and probability theory.

Syllabus

1. Maximum Likelihood Estimation Basics.
2. MLE Example: Binomial.
3. MLE Example: Binomial Revisited.
4. MLE Example: Poisson.
5. MLE Example: Uniform.

Taught by

Professor Knudson

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