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stat.ML2025
Risk Bounds For Distributional Regression
Carlos Misael Madrid Padilla, Oscar Hernan Madrid Padilla, Sabyasachi Chatterjee
This work examines risk bounds for nonparametric distributional regression estimators. For convex-constrained distributional regression, general upper bounds are established for th…
stat.ML2025
A new approach to locally adaptive polynomial regression
Sabyasachi Chatterjee, Subhajit Goswami, Soumendu Sundar Mukherjee
Adaptive bandwidth selection is a fundamental challenge in nonparametric regression. This paper introduces a new bandwidth selection procedure inspired by the optimality criteria f…