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Marshall lemma in discrete convex estimation

Balabdaoui, Fadoua; Durot, Cécile (2015), Marshall lemma in discrete convex estimation, Statistics & Probability Letters, 99, p. 143-148. 10.1016/j.spl.2015.01.016

Type
Article accepté pour publication ou publié
Date
2015
Journal name
Statistics & Probability Letters
Volume
99
Publisher
Elsevier
Pages
143-148
Publication identifier
10.1016/j.spl.2015.01.016
Metadata
Show full item record
Author(s)
Balabdaoui, Fadoua
CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Durot, Cécile
Modélisation aléatoire de Paris X [MODAL'X]
Abstract (EN)
We show that the supremum distance between the cumulative distribution of the convex LSE and an arbitrary distribution function F with a convex pmf on N is at most twice the supremum distance between the empirical distribution function and F.
Subjects / Keywords
Convex; Nonparametric least squares; Marshall lemma; pmf; Shape constraints

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