Density Estimation on Rectifiable Sets

Fuente: arXiv
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Autor principal: Kendrick, Jack
Formato: Preprint
Publicado: 2025
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author Kendrick, Jack
author_facet Kendrick, Jack
contents Kernel density estimation is a popular method for estimating unseen probability distributions. However, the convergence of these classical estimators to the true density slows down in high dimensions. Moreover, they do not define meaningful probability distributions when the intrinsic dimension of data is much smaller than its ambient dimension. We build on previous work on density estimation on manifolds to show that a modified kernel density estimator converges to the true density on $d-$rectifiable sets. As a special case, we consider algebraic varieties and semi-algebraic sets and prove a convergence rate in this setting. We conclude the paper with a numerical experiment illustrating the convergence of this estimator on sparse data.
format Preprint
id arxiv_https___arxiv_org_abs_2505_23023
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Density Estimation on Rectifiable Sets
Kendrick, Jack
Statistics Theory
Classical Analysis and ODEs
62G05, 62G07
Kernel density estimation is a popular method for estimating unseen probability distributions. However, the convergence of these classical estimators to the true density slows down in high dimensions. Moreover, they do not define meaningful probability distributions when the intrinsic dimension of data is much smaller than its ambient dimension. We build on previous work on density estimation on manifolds to show that a modified kernel density estimator converges to the true density on $d-$rectifiable sets. As a special case, we consider algebraic varieties and semi-algebraic sets and prove a convergence rate in this setting. We conclude the paper with a numerical experiment illustrating the convergence of this estimator on sparse data.
title Density Estimation on Rectifiable Sets
topic Statistics Theory
Classical Analysis and ODEs
62G05, 62G07
url https://arxiv.org/abs/2505.23023