3 citations · 3 across the 6 of their papers we have counts for
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stat.ME2023
Modeling random directions of changes in simplex-valued data
Rayleigh Lei, XuanLong Nguyen
We propose models and algorithms for learning about random directions in simplex-valued data. The models are applied to the study of income level proportions and their changes over…
stat.AP2023★ 3 cited
A Novel Class of Unfolding Models for Binary Preference Data
Rayleigh Lei, Abel Rodriguez
We develop a new class of spatial voting models for binary preference data that can accommodate both monotonic and non-monotonic response functions, and are more flexible than alte…
stat.AP2023
Dynamic Factor Models for Binary Data in Circular Spaces: An Application to the U.S. Supreme Court
Rayleigh Lei, Abel Rodriguez
Latent factor models are widely used in the social and behavioral science as scaling tools to map discrete multivariate outcomes into low dimensional, continuous scales. In politic…