(非)参数回归:局部随机波动模型的应用

P. Henry-Labordère
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引用次数: 1

摘要

在这篇简短的文章中,我们回顾了各种(非)参数回归方法,主要是k近邻,Nadaraya-Watson, LP(p)-估计,样条回归和随机森林。然后在使用粒子法校准局部随机波动模型时对它们进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
(Non)-Parametric Regressions: Applications to Local Stochastic Volatility Models
In this short paper, we review various (non)-parametric regression methods, mainly k-nearest neighbors, Nadaraya-Watson, LP(p)-estimators, spline regressor and random forest. They are then compared when calibrating local stochastic volatility models using the particle method.
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