Steven N. MacEachern

This researcher works in statistics, focusing on Bayesian methods (approaches that update beliefs using probability as new data arrives), nonparametric models such as Dirichlet processes (flexible ways to describe unknown distributions without assuming a fixed shape), and empirical likelihood techniques for testing hypotheses. Much of the work develops new statistical theory and methods, including robust distribution-free tests, quantile-based models, and tools for analyzing experimental data, with applications spanning biology, manufacturing monitoring, and customer behavior analysis. Students interested in the theoretical foundations of statistics and how to build flexible, robust inference methods may find this research relevant.

Publication output has been variable over the last decade, with a peak in 2019 and 2022, and a slight decline in the most recent few years, averaging about 4 papers per year over the last 5 years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026