On a Strictly Decreasing Nonparametric Estimator of the Drift Function for Recurrent Diffusion Processes

Fuente: arXiv
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Auteur principal: Marie, Nicolas
Format: Preprint
Publié: 2026
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author Marie, Nicolas
author_facet Marie, Nicolas
contents This paper deals with a copies-based continuously differentiable and strictly decreasing estimator of the drift function for stochastic differential equations defining recurrent diffusion processes. The first part of our paper deals with non-asymptotic $\mathbb L^1$-risk bounds and a bandwidths selection procedure for a universal monotone estimator. These results are tailor-made to our framework, and then applied to the estimation of the drift function of recurrent diffusion processes in the second part of the paper.
format Preprint
id arxiv_https___arxiv_org_abs_2603_14037
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle On a Strictly Decreasing Nonparametric Estimator of the Drift Function for Recurrent Diffusion Processes
Marie, Nicolas
Statistics Theory
This paper deals with a copies-based continuously differentiable and strictly decreasing estimator of the drift function for stochastic differential equations defining recurrent diffusion processes. The first part of our paper deals with non-asymptotic $\mathbb L^1$-risk bounds and a bandwidths selection procedure for a universal monotone estimator. These results are tailor-made to our framework, and then applied to the estimation of the drift function of recurrent diffusion processes in the second part of the paper.
title On a Strictly Decreasing Nonparametric Estimator of the Drift Function for Recurrent Diffusion Processes
topic Statistics Theory
url https://arxiv.org/abs/2603.14037