Likelihood-based inferences have been remarkably successful in wide-spanning application
areas. However, even after due diligence in selecting a good model for the data at hand …

Background There is a paucity of data examining disparities in influenza vaccination at the
intersection of disability and race. Objective To compare the prevalence of influenza …

We conduct a discrete choice experiment across 771 US households to estimate willingness
to pay (WTP) values for autonomous and human grocery delivery. We estimate that urban …

We consider convex-concave saddle point problems, and more generally convex
optimization problems we refer to as $\textit {saddle problems} $, which include the partial …

Random Forests have been one of the most popular bagging methods in the past few
decades, especially due to their success at handling tabular datasets. They have been …

In most countries, a government agency or collaborating organization gathers information on
occupational accidents. Comparisons based on a single factor such as autonomous …

Electrochemical CO 2 utilization is an attractive process for realizing carbon-neutral
chemical production due to its electricity-driven ambient conditions, compatibility with …

Transportation is the largest contributing sector of greenhouse gas (GHG) emissions in the
United States (US). I present three works that focus on ways in which policy and technology …

Count data analysis presents unique challenges due to its discrete nature, often exhibiting
excessive zeros and overdispersion. To address these complexities, count models, such as …

Matching is a popular method to use with observational data to replicate desired features of
a randomized control trial. A common problem encountered in observational studies is the …