Nadaraya-Watson Estimator for I.I.D. Paths of Diffusion Processes
About
This paper deals with a nonparametric Nadaraya-Watson estimator $\hat b$ of the drift function computed from independent continuous observations of a diffusion process. Risk bounds on $\hat b$ and its discrete-time approximation are established. The paper also deals with extensions of the PCO and leave-one-out cross validation bandwidth selection methods for $\hat b$. Finally, some numerical experiments are provided.
Nicolas Marie, Am\'elie Rosier• 2021
Related benchmarks
| Task | Dataset | Result | Rank | |
|---|---|---|---|---|
| Drift Estimation | μ2 drift function | In-sample Drift Error E10.132 | 4 | |
| Drift Estimation | μ3 drift function | Drift Error E_10.0146 | 4 | |
| Drift Estimation | μ1 drift function | In-sample Drift Error E_10.0456 | 4 |
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