Nadaraya-Watson Type Estimator of the Transition Density Function for Diffusion Processes

Fuente: arXiv
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Auteurs principaux: Marie, Nicolas, Sacko, Ousmane
Format: Preprint
Publié: 2025
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author Marie, Nicolas
Sacko, Ousmane
author_facet Marie, Nicolas
Sacko, Ousmane
contents This paper deals with a nonparametric Nadaraya-Watson (NW) estimator of the transition density function computed from independent continuous observations of a diffusion process. A risk bound is established on this estimator. The paper also deals with an extension of the penalized comparison to overfitting bandwidths selection method for our NW estimator. Finally, numerical experiments are provided.
format Preprint
id arxiv_https___arxiv_org_abs_2502_14498
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Nadaraya-Watson Type Estimator of the Transition Density Function for Diffusion Processes
Marie, Nicolas
Sacko, Ousmane
Statistics Theory
This paper deals with a nonparametric Nadaraya-Watson (NW) estimator of the transition density function computed from independent continuous observations of a diffusion process. A risk bound is established on this estimator. The paper also deals with an extension of the penalized comparison to overfitting bandwidths selection method for our NW estimator. Finally, numerical experiments are provided.
title Nadaraya-Watson Type Estimator of the Transition Density Function for Diffusion Processes
topic Statistics Theory
url https://arxiv.org/abs/2502.14498