Symmetry: A general structure in nonparametric regression
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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
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Journal Title
The Annals of Statistics
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0090-5364
2168-8966
2168-8966
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Institute of Mathematical Statistics
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Except where otherwised noted, this item's license is described as Attribution 4.0 International
Sponsorship
EPSRC (EP/Y004841/1)
EPSRC (EP/T017961/1)
EPSRC (EP/T017961/1)

