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Bandwidth selection and asymptotic properties of local nonparametric estimators in possibly nonstationary continuous-time models

机译:非平稳连续时间模型中局部非参数估计量的带宽选择和渐近性质

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摘要

We derive the asymptotic properties of nonparametric estimators of the drift and diffusion functions, and the local time, of a discretely sampled diffusion process that is possibly nonstationary. We provide complete two-dimensional asymptotics in both the time span and the sampling interval, allowing for a precise characterization of their distribution, as well as the determination of optimal bandwidths for these estimators. (C) 2016 Published by Elsevier B.V.
机译:我们导出了漂移和扩散函数的非参数估计量的渐近性质,以及可能不稳定的离散采样扩散过程的局部时间。我们在时间跨度和采样间隔中都提供了完整的二维渐近线,从而可以精确表征其分布,并确定这些估计器的最佳带宽。 (C)2016由Elsevier B.V.发布

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