Statistical Learning: 8.6 Bayesian Additive Regression Trees

Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing

Trevor Hastie, Professor of Statistics and Biomedical Data Sciences at Stanford University - https://statistics.stanford.edu/peopl...

Robert Tibshirani, Professor of Statistics and Biomedical Data Sciences at Stanford University - https://statistics.stanford.edu/peopl...

Jonathan Taylor, Professor Statistics at Stanford University - https://statistics.stanford.edu/peopl...

You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion. You can choose to take the course in R (https://www.edx.org/course/statistica) or in Python (https://www.edx.org/learn/data-analys...)

For more information about courses on Statistics, you can browse our Stanford Online Catalog: https://stanford.io/3QHRi72

0:00 Introduction
1:53 BART algorithm - the idea
3:27 Bayesian Additive Regression Trees - Some Notation
6:00 Examples of possible perturbations to a tree
6:54 What does BART Deliver?
8:45 BART applied to the Heart data
10:03 BART is a Bayesian Method