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Welcome to the Wisconsin Chapter

N.B.  This workshop has already occurred.  
However, you can find the slides available at the following places.

Rob's slides

BART Workshop, June 2023

Rodney's slides

https://community.amstat.org/wisconsinchapter/viewdocument/ensemble-learning-with-bayesian-add?CommunityKey=fa822db7-e8a1-4b8b-a94e-781e30e44b33&tab=librarydocuments


The Wisconsin Chapter of the American Statistical Association (ASA) in association with The Division of Biostatistics at the Medical College of Wisconsin (MCW) proudly presents a hybrid in-person/virtual workshop Ensemble Learning with Bayesian Additive Regression Trees by Professor Robert E McCulloch School of Mathematical and Statistical Sciences at Arizona State University and Associate Professor Rodney Sparapani Division of Biostatistics at the Medical College of Wisconsin More info on the workshop; see below. Dates: June 7 and 8 (Wednesday and Thursday) Times: 8:30 to 4:30 CDT Location: Online with Zoom or in-person at The Medical College of Wisconsin Kerrigan Auditorium, M1540 8701 Watertown Plank Road Located SW of intersection with 87th Street Milwaukee, WI 53226 Parking: After registering, you will receive info on Visitor Parking Lunch: On your own, there are two cafeterias on campus Dinner with the speaker: 5PM Wednesday at TBD, please RSVP In-person: $20 Current Wisconsin ASA Chapter members in good standing $20 Students enrolled at a college/university in Wisconsin $50 All others (including $10 Wisconsin Chapter 1 year membership) Bring your laptops for hands-on! Hybrid: $ 5 Current Wisconsin ASA Chapter members in good standing $ 5 Students enrolled at a college/university in Wisconsin $35 All others (including $10 Wisconsin Chapter 1 year membership) Registration deadline: 06/01/2023 You can make payment via PayPal to the Treasurer elizabethsmith@asawisconsin.onmicrosoft.com or send a check made out to The Wisconsin Chapter of the ASA (please put your email address in the memo field for contact) Elizabeth Smith 6001 W Donges Lane Brown Deer, WI 53223 Ensemble Learning with Bayesian Additive Regression Trees by Robert E McCulloch, PhD School of Mathematical and Statistical Sciences at Arizona State University

https://www.rob-mcculloch.org

and Rodney Sparapani, PhD
Division of Biostatistics at the Medical College of Wisconsin

https://www.linkedin.com/in/rodneysparapani

Abstract: 

Modern computing power has led to breakthroughs in our ability to
learn high-dimensional, complex relationships from data.  Recently,
the two key modeling approaches in this arena are deep learning with
neural networks and ensemble learning with trees.  In this workshop,
you will learn a Bayesian approach to modeling with ensembles of trees
called Bayesian Additive Regression Trees (BART).  The Bayesian
approach allows for a Markov chain Monte Carlo stochastic exploration
of the model space, uncertainty quantification, and Bayesian posterior
inference.  BART is a modern nonparametric approach that exploits the
elegance and convenience of the Bayesian conceptual toolkit.

Schedule:

Wednesday June 7
08:30 Welcoming with President Tucker Keuter
09:00 Introduction and Background to Bayesianism with Rob
09:30 Bayesian Additive Regression Trees (BART) with Rob
10:30 Break 
11:00 BART and Posterior Inference with Rob
12:00 Lunch on your own (but please be social in-person!)
13:00 Hands-on with BART Software with Rodney
14:30 Break
15:00 BART and Categorical Outcomes with Rodney
16:00 Questions and Answers
16:30 End of day 1
17:00 Dinner with the speakers at Eddie Martini's (please RSVP)

Thursday June 8
08:30 Welcoming VP (and President-elect) Kai Yang
09:00 Variable Selection with Rob and Rodney
10:30 Break 
11:00 Monotonicity, Outliers and Influencers with Rob and Rodney
12:00 Lunch on your own (but please be social in-person!)
13:00 Time-to-event Outcomes with Rodney
14:30 Break
15:00 A Wider View of BART Developments with Rob and Rodney
16:00 Questions and Answers
16:30 End of day 2