https://cascobayesian.github.io/news.html Jack O'Brien is an applied statistician and data scientist in the Department of Mathematics at Bowdoin College. https://cascobayesian.github.io/files/images/lake-chad-pottery.png https://cascobayesian.github.io/news.html 81 144 quarto-1.11.9 Mon, 15 Dec 2025 00:00:00 GMT https://cascobayesian.github.io/news/2025-12-15-psrm-paper.html Check out my recent(ish) paper using mixture models to map political ideology using election data: O’Brien. 2025. “A Bayesian mixture model captures temporal and spatial structure of voting blocs within longitudinal referendum data”. Currently in press in Political Science Research and Methods.

Back to top ]]> research https://cascobayesian.github.io/news/2025-12-15-psrm-paper.html Mon, 15 Dec 2025 00:00:00 GMT https://cascobayesian.github.io/news/2025-12-10-honors-presentations.html My two honors students, Avery Cutler and Nathan Kellerman, made absolutely amazing mid-year presentations on their respective projects: Avery’s on modeling eviction records in Boston, and Nathan’s work on a new EM algorithm for overdispersed count data.

Back to top ]]> students https://cascobayesian.github.io/news/2025-12-10-honors-presentations.html Wed, 10 Dec 2025 00:00:00 GMT https://cascobayesian.github.io/news/2025-07-15-icecube-paper.html Very happy to see Assistant Professor of Physics Fe McBride’s paper, “A radio-quiet AGN as a candidate counterpart to neutrino event IceCube–200615A” (on which I made a very small assist) published in The Monthly Notices of the Royal Astronomical Society.

Back to top ]]> research https://cascobayesian.github.io/news/2025-07-15-icecube-paper.html Tue, 15 Jul 2025 00:00:00 GMT