Rob McCulloch Home Page

Winner, best paper!!

ISBA Biostatistics and Pharmaceutical Section 2023 Paper Competition Award Winner
Best Paper Award
Nonparametric failure time: Time-to-event machine learning with heteroskedastic Bayesian additive regression trees and low information omnibus Dirichlet process mixtures
By Rodney Sparapani (speaker), email rsparapa@mcw.edu
(co-authors B. Logan, M. Maiers, P, Laud & R. E. McCulloch)

Rob Venice talk on BART Discovery

Rob Discovery talk, 5-31-2024, Milwaukee, Multidimensional Monotonicity Discovery with mBART

do-diabetes_1.R

with mBART Rob dusty talk, 11-30-23: Rob dusty talk, Texas, 11-30-23

Rob dusty talk, 5-20-23: rob-dusty-talk_5-20-23.pdf, Ruey conference

BART Workshop: BART Workshop, June 2023

souse hole, 2023:
oh shit

souse hole, 2024:
oh shit





NFT, Austin

Ed conference, monotonic discovery

Causal Inference with the Instrumental Variable Approach and Bayesian Nonparametric Machine Learning ASU, September 20, 2021.


Variable Selection and Interaction Detection with Bayesian Additive Regression Trees

Carlos Carvalho, Edward George, Richard Hahn, and Robert McCulloch

Rmarkdown Tutorial


Fitting the fit, variable selection using surrogate models and decision analysis

paper, a pdf file

R package: nonlinvarsel_0.0.1.9001.tar.gz
A simple way to install:


> install.packages('foreach', dep = T)
> url <- 'http://www.rob-mcculloch.org/chm/nonlinvarsel_0.0.1.9001.tar.gz'
> download.file(url, destfile = 'temp')
> install.packages('temp', repos = NULL, type='source')


Or, if you want to download the tar.gz file to your working directory explicity:
First make sure you have the R package foreach installed e.g.
> install.packages("foreach")
Then,
> install.packages("nonlinvarsel_0.0.1.9001.tar.gz", repos = NULL, type="source")
where the tar.gz file is in your working directory.

Simple R script for cars example

Rob talk at insper, September, 2020




contact info:

Robert McCulloch
Professor of Statistics
School of Mathematical and Statistical Sciences
Arizona State University
901 South Palm Walk
Wexler Hall, 528
Tempe, AZ 85281-1804

email: Robert.Mcculloch at asu.edu
web: www.rob-mcculloch.org



BART R Package

Tutorial on basic use of BART R package


BART Tutorial, Medical College of Wisconsin, 9-30-2017


rbart R Package

Vignette pdf for rbart R package

Vignette source Rmd for rbart R package




Teaching:

Spring 2025

STP 540, Computational Statistics, Spring 2025

STP 494, Applied Machine Learning in Python and R, Spring 2025

STP 550, Statistical Machine Learning, Spring 2025

Spring 2023

STP 540, Computational Statistics, Spring 2023

STP 494, Applied Machine Learning in Python and R, Spring 2023

STP 598, Machine Learning, Spring 2023



Data Sets



Comparing R and Python

R Information

Python Information




Research:

see google scholar page.