YoVDO

Maximum Likelihood Estimation

Offered By: Professor Knudson via YouTube

Tags

Statistics & Probability Courses Data Analysis Courses Probability Distributions Courses Binomial Distribution Courses Poisson Distribution Courses Maximum Likelihood Estimation Courses Uniform Distribution Courses

Course Description

Overview

Explore the fundamental concepts and applications of Maximum Likelihood Estimation (MLE) in this 30-minute lecture. Delve into the basics of MLE before examining practical examples using various probability distributions. Learn how to apply MLE to binomial scenarios, revisit the binomial example for deeper understanding, and then progress to Poisson and uniform distribution applications. Gain valuable insights into this powerful statistical technique from Professor Knudson's concise yet comprehensive presentation.

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

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Probabilistic Graphical Models 1: Representation
Stanford University via Coursera
Statistics One
Princeton University via Coursera
Intro to Statistics
Stanford University via Udacity
Passion Driven Statistics
Wesleyan University via Coursera