Preprint
Nonparametric Analysis of Complex Nonlinear Systems
Abstract
In this paper we propose a nonparametric methodology designed to facilitate the statistical analysis of complex systems. The proposed approach exploits an ensemble of nonparametric techniques including conditional density function estimation, conditional distribution function estimation, conditional mean estimation (regression) and conditional quantile estimation (quantile regression). By exploiting recent developments in nonparametric …
Authors
Das S; Racine J
Publication date
January 1, 2016
DOI
10.2139/ssrn.2826732
Preprint server
SSRN Electronic Journal