Nadaraya-Watson Type Estimator of the Transition Density Function for Diffusion Processes
Nicolas Marie, Ousmane Sacko

TL;DR
This paper introduces a nonparametric Nadaraya-Watson estimator for the transition density of diffusion processes, providing risk bounds, an improved bandwidth selection method, and supporting numerical experiments.
Contribution
It presents a novel NW estimator for diffusion transition densities with theoretical risk bounds and an enhanced bandwidth selection approach.
Findings
Risk bounds established for the estimator
Effective bandwidth selection method proposed
Numerical experiments validate the approach
Abstract
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.
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Taxonomy
TopicsStatistical Methods and Inference · Stochastic processes and financial applications · Diffusion Coefficients in Liquids
