4 citations · 10 across the 10 of their papers we have counts for
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stat.CO2021
Multivariate Lévy Adaptive B-Spline Regression
Sewon Park, Jaeyong Lee, Jeunghun Oh
We propose Multivariate Lévy Adaptive B-Spline Regression (MLABS), a Bayesian nonparametric regression model designed to capture nonlinear effects, interactions, and locally varyin…
stat.AP2021
Bayesian Nonparametric Classification for Incomplete Data With a High Missing Rate: an Application to Semiconductor Manufacturing Data
Sewon Park, Kyeongwon Lee, Da-Eun Jeong +2
During the semiconductor manufacturing process, predicting the yield of the semiconductor is an important problem. Early detection of defective product production in the manufactur…
stat.ME2021
Lévy Adaptive B-spline Regression via Overcomplete Systems
Sewon Park, Hee-Seok Oh, Jaeyong Lee
The estimation of functions with varying degrees of smoothness is a challenging problem in the nonparametric function estimation. In this paper, we propose the LABS (Lévy Adaptive…