Bayesian Regression: Additive Models, Trees & Forests, & their Applications

Tue, Aug 6, 10:30 AM - 12:20 PM

Brandon CarterChair

Section on Bayesian Statistical Science

6 Presentations

Bayesian Weighted Random Forests for high-dimensional longitudinal cancer genomic data

10:35 AM - 10:50 AM

Ridwan Oyebayo Olaniran (European Organisation for Research and Treatment of Cancer)

Co-authors: Coralie Poncet (European Organisation for Research and Treatment of Cancer), Saskia Litiere (European Organisation for Research and Treatment of Cancer)

Distribution-free Bayesian Additive Regression for Location and Scale

10:50 AM - 11:05 AM

Johannes Brachem

Co-authors: Paul Wiemann (University of Wisconsin-Madison), Thomas Kneib

Modeling Crash Risk on Roadway Networks using Bayesian Regression Trees

11:05 AM - 11:20 AM

Benjamin Dahl (Brigham Young University)

Co-authors: Jared Fisher (Brigham Young University), Richard Warr (Brigham Young University), Grant Schultz (Brigham Young University), Matthew Heaton (Brigham Young University)

Oblique Bayesian Additive Regression Trees with non-axis aligned splits

11:20 AM - 11:35 AM

Paul-Hieu Nguyen (University of Wisconsin-Madison)

Co-authors: Ryan Yee, Sameer Deshpande (University of Wisconsin- Madison)

Orthogonal calibration via posterior projections

11:35 AM - 11:50 AM

Antik Chakraborty (Purdue University)

Scalable smoothing in high-dimensions with BART

11:50 AM - 12:05 PM

Ryan Yee

Co-authors: Sameer Deshpande (University of Wisconsin- Madison)