17 citations · 38 across the 10 of their papers we have counts for
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stat.CO2021★ 6 cited
pyStoNED: A Python Package for Convex Regression and Frontier Estimation
Sheng Dai, Yu-Hsueh Fang, Chia-Yen Lee +1
Shape-constrained nonparametric regression is a growing area in econometrics, statistics, operations research, machine learning and related fields. In the field of productivity and…
stat.ME2021★ 3 cited
Variable selection in convex quantile regression: L1-norm or L0-norm regularization?
Sheng Dai
The curse of dimensionality is a recognized challenge in nonparametric estimation. This paper develops a new L0-norm regularization approach to the convex quantile and expectile re…