3 papers
stat.ME2026
Modeling Ordinal Survey Data with Unfolding Models
Rayleigh Lei, Abel Rodriguez
Surveys that rely on ordinal polychotomous (Likert-like) items are widely employed to capture individual preferences because they allow respondents to express both the direction an…
stat.ML2026
"Rebuilding" Statistics in the Age of AI: A Town Hall Discussion on Culture, Infrastructure, and Training
David L. Donoho, Jian Kang, Xihong Lin +7
This article presents the full, original record of the 2024 Joint Statistical Meetings (JSM) town hall, "Statistics in the Age of AI," which convened leading statisticians to discu…
stat.CO2025
pumBayes: Bayesian Estimation of Probit Unfolding Models for Binary Preference Data in R
Skylar Shi, Abel Rodriguez, Rayleigh Lei
Probit unfolding models (PUMs) are a novel class of scaling models that allow for items with both monotonic and non-monotonic response functions and have shown great promise in the…