The expectation-maximization (EM) algorithm is a well-known iterative method for computing
maximum likelihood estimates in a variety of statistical problems. Despite its numerous …

Fixed-point algorithms are popular in statistics and data science due to their simplicity,
guaranteed convergence, and applicability to high-dimensional problems. Well-known …

In this dissertation we discuss the problem of distribution regression. That is, the problem of
utilizing distributional covariates in predicting scalar outcomes. We first show an application …