2 papers
stat.ME2025
Kernel Density Estimation and Convolution Revisited
Nicholas Tenkorang, Kwesi Appau Ohene-Obeng, Xiaogang Su
Kernel Density Estimation (KDE) is a cornerstone of nonparametric statistics, yet it remains sensitive to bandwidth choice, boundary bias, and computational inefficiency. This stud…
stat.ML2025
End-Cut Preference in Survival Trees
Xiaogang Su
The end-cut preference (ECP) problem, referring to the tendency to favor split points near the boundaries of a feature's range, is a well-known issue in CART (Breiman et al., 1984)…