Nonparametric methods provide a flexible framework for estimating the probability density function of random variables without imposing a strict parametric model. By relying directly on observed data, ...

Parametric option pricing models are widely used in finance. These models capture several features of asset price dynamics; however, their pricing performance can be significantly enhanced when they ...

This article introduces a nonparametric method to estimate the covariance matrix for the stationary part of the signal (hidden in data), to enable benchmarking via signal extraction. Some discussions ...

A non-parametric method for paleohydrologic reconstruction (NPP) of streamflows using tree-ring chronologies is developed. The method uses pattern matching of chronologies in EOF-space (Empirical ...