Uniform Convergence Rate of the Nonparametric Estimator for Integrated Diffusion Processes
Statistics Theory
2025-03-20 v2 Probability
Statistics Theory
Abstract
The nonparametric estimation of integrated diffusion processes has been extensively studied, with most existing research focusing on pointwise convergence. This paper is the first to establish uniform convergence rates for the Nadaraya-Watson estimators of their coefficients. We derive these rates over unbounded support under the assumptions of a vanishing observation interval and a long time horizon. Our findings serve as essential tools for specification testing and semiparametric inference in various diffusion models and time series, facilitating applications in finance, geology, and physics through nonparametric estimation methods.
Cite
@article{arxiv.2410.05822,
title = {Uniform Convergence Rate of the Nonparametric Estimator for Integrated Diffusion Processes},
author = {Shaolin Ji and Linlin Zhu},
journal= {arXiv preprint arXiv:2410.05822},
year = {2025}
}