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Symmetry: A general structure in nonparametric regression

Year: 2025

Type: article

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

Source: Apollo (University of Cambridge)

DOI: 10.17863/cam.117965

Authors: Christie, Louis Goldwater, Aston, John AD

Language: English

Topic: Statistical Methods and Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funder: Engineering and Physical Sciences Research Council

Awards: Real-time digital optimisation and decision making for energy and transport systems, Cambridge Mathematics of Information in Healthcare (CMIH)

OpenAlex ID: W6925312781

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