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arXiv · 2508.18581

Adaptive estimation for nonparametric circular regression with errors in variables

Tien Dat Nguyen·Thanh Mai Pham Ngoc
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Abstract

This paper investigates the nonparametric estimation of a circular regression function in an errors-in-variables framework. Two settings are studied, depending on whether the covariates are circular or linear. Adaptive estimators are constructed and their theoretical performance is assessed through convergence rates over Sobolev and H\"older smoothness classes. Numerical experiments on simulated and real datasets illustrate the practical relevance of the methodology.

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Tien Dat Nguyen, Thanh Mai Pham Ngoc. 2025-08-26. Adaptive estimation for nonparametric circular regression with errors in variables. https://arxiv.org/abs/2508.18581

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