3 papers
stat.ML2026
Posterior Contraction of Lévy Adaptive B-spline Regression in Besov Spaces
Jeunghun Oh, Sewon Park, Jaeyong Lee
We investigate the asymptotic properties of the Lévy Adaptive B-spline (LABS) regression model, a Bayesian nonparametric method that incorporates B-spline kernels into the Lévy A…
stat.ML2026
Posterior Contraction Rates for Sparse Kolmogorov-Arnold Networks in Anisotropic Besov Spaces
Jeunghun Oh, Kyeongwon Lee, Jaeyong Lee +1
We study posterior contraction rates for sparse Bayesian Kolmogorov-Arnold networks (KANs) over anisotropic Besov spaces, providing a statistical foundation of KANs from a Bayesian…
stat.ME2025
Bayesian Bootstrap based Gaussian Copula Model for Mixed Data with High Missing Rates
Seongmin Kim, Jeunghun Oh, Hungkuk Ko +2
Missing data is a common issue in various fields such as medicine, social sciences, and natural sciences, and it poses significant challenges for accurate statistical analysis. Alt…