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Symmetry: A general structure in nonparametric regression

Accepted version
Peer-reviewed

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Abstract

This zip file contains three items: (1) 3d_rotations_eg.py contains the code relevant to Section 5.1; (2) translation_eg.py contains the code relevant to Section 5.2; and (3) readme.md contains further description of these files, including instructions for their use. In this paper, we present the framework of symmetry in nonparametric regression. This generalises the framework of covariate sparsity, where the regression function f:[0,1]d→R depends only on at most s

Description

Journal Title

The Annals of Statistics

Conference Name

Journal ISSN

0090-5364
2168-8966

Volume Title

Publisher

Institute of Mathematical Statistics

Rights and licensing

Except where otherwised noted, this item's license is described as Attribution 4.0 International
Sponsorship
EPSRC (EP/Y004841/1)
EPSRC (EP/T017961/1)