Hart, Jeffrey and Vieu, Philippe (1990) Data-Driven Bandwidth Choice for Density Estimation Based on Dependent Data. The Annals of Statistics, 18 (2). pp. 873-890. DOI: https://doi.org/10.1214/aos/1176347630
Full text not available from this repository.Abstract
The bandwidth selection problem in kernel density estimation is investigated in situations where the observed data are dependent. The classical leave-out technique is extended, and thereby a class of cross-validated bandwidths is defined. These bandwidths are shown to be asymptotically optimal under a strong mixing condition. The leave-one out, or ordinary, form of cross-validation remains asymptotically optimal under the dependence model considered. However, a simulation study shows that when the data are strongly enough correlated, the ordinary version of cross-validation can be improved upon in finite-sized samples.
[error in script]| Item Type: | Article |
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| Subjects: | Methodology > Method and procesing > Collective properties of seismicity |
| Project: | IS-EPOS project |
