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math.ST2022★ 2 cited
Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation
Robert A. Vandermeulen, Antoine Ledent
The construction and theoretical analysis of the most popular universally consistent nonparametric density estimators hinge on one functional property: smoothness. In this paper we…
math.ST2020
Improving Nonparametric Density Estimation with Tensor Decompositions
Robert A. Vandermeulen
While nonparametric density estimators often perform well on low dimensional data, their performance can suffer when applied to higher dimensional data, owing presumably to the cur…