Introduction to Statistics and Data Analysis - Density Estimation with Gaussian Mixture Models (GMM) and Empirical Priors

This video describes how to estimate more complex distributions using empirical distributions given by Gaussian mixture models (GMM). This is a baby step towards machine learning. This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company %%% CHAPTERS %%% 00:00 Intro 03:40 Kernel Density Estimation 06:38 Gaussian Mixture Models 10:29 Code Demo: Coin Flips KDE 15:47 Outro