Seokho Lee

most citedSparse logistic principal components analysis for binary data

106 citations · 106 across the 2 of their papers we have counts for

collaborators

Showing stat.APShow all

2 papers · 1 filter

stat.AP2025

$ℓ_{0}$ -Regularized Item Response Theory Model for Robust Ideal Point Estimation

Kwangok Seo, Johan Lim, Seokho Lee +1

Ideal point estimation methods face a significant challenge when legislators engage in protest voting -- strategically voting against their party to express dissatisfaction. Such v…

stat.AP2010★ 106 cited

Sparse logistic principal components analysis for binary data

Seokho Lee, Jianhua Z. Huang, Jianhua Hu

We develop a new principal components analysis (PCA) type dimension reduction method for binary data. Different from the standard PCA which is defined on the observed data, the pro…

ℓ0​-Regularized Item Response Theory Model for Robust Ideal Point Estimation

Sparse logistic principal components analysis for binary data

$ℓ_{0}$ -Regularized Item Response Theory Model for Robust Ideal Point Estimation