4 papers
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…
"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…
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…
Logit unfolding choice models for binary data
Rayleigh Lei, Abel Rodriguez
Discrete choice models with non-monotonic response functions are important in many areas of application, especially political sciences and marketing. This paper describes a novel u…