Advances in the Statistical Understanding of Random Forests and Related Methods and Their Use in Inference

• Activity Number: 61 - Introductory Overview Lecture: Advances in the Statistical Understanding of Random Forests and Related Methods and Their Use in Inference
• Type: Invited
• Date/Time: Monday, August 9, 2021 : 10:00 AM to 11:50 AM
• Sponsor: JSM Partner Societies
• Author(s): Lucas Mentch* and Giles J. Hooker*
• Companies: Cornell and University of Pittsburgh

Abstract

The lecture will cover three major topics:

1. Theory and Methods for Random Forest Construction.

2. Statistical developments with Random Forests.

3. Extracting Knowledge from Random Forests.

The methods are illustrated with real-world examples throughout and we provide pointers and examples of software implementations.