Nonparametric Density Estimation by B-spline Duality
39 Pages Posted: 8 Apr 2019
Date Written: March 11, 2019
In this paper, we propose a new non-parametric density estimator derived from the theory of frames and Riesz bases. In particular, we propose the so-called bi-orthogonal density estimator based on the class of B-splines, and derive its theoretical properties including the asymptotically optimal choice of bandwidth. Detailed theoretical analysis and comparisons of our estimator with existing local basis and kernel density estimators are presented. The estimator is particularly well suited for high frequency data analysis in financial and economic markets.
Keywords: nonparametric density estimation, spline, empirical characteristic function, empirical density, fast Fourier transform, Levy processes, basis, PROJ, kernel density estimator
JEL Classification: C14, G13, G17, C58, C53, C01
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