In the last few years, Artificial Intelligence (AI) has achieved a notable momentum that, if
harnessed appropriately, may deliver the best of expectations over many application sectors …

Fifty years have passed since the publication of the first regression tree algorithm. New
techniques have added capabilities that far surpass those of the early methods. Modern …

Computer simulation experiments are essential to modern scientific discovery, whether that
be in physics, chemistry, biology, epidemiology, ecology, engineering, etc. Surrogates are …

This paper presents a novel nonlinear regression model for estimating heterogeneous
treatment effects, geared specifically towards situations with small effect sizes …

In any given machine learning problem, there may be many models that could explain the
data almost equally well. However, most learning algorithms return only one of these …

We present the design and implementation of a custom discrete optimization technique for
building rule lists over a categorical feature space. Our algorithm produces rule lists with …

In this article, we introduce the BART R package which is an acronym for Bayesian additive
regression trees. BART is a Bayesian nonparametric, machine learning, ensemble …

Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction
model Page 1 The Annals of Applied Statistics 2015, Vol. 9, No. 3, 1350–1371 DOI …

When devising a course of treatment for a patient, doctors often have little quantitative
evidence on which to base their decisions, beyond their medical education and published …

The concept of panarchy provides a framework that characterizes complex systems of
people and nature as dynamically organized and structured within and across scales of …