We use spline interpolation to approximate the subjective cumulative distribution function of an economic agent over …

A non-standard application of bivariate polynomial interpolation is discussed: the implicitization of a rational … algebraic curve given by its parametric equations. Three different approaches using the same interpolation space are considered …

This paper surveys a wide selection of the interpolation algorithms that are in use in financial markets for … issue of bootstrapping is reviewed and how the interpolation algorithm should be intimately connected to the bootstrap … (or indeed an inhouse developer) as a viable option for yield curve interpolation. As will be seen, many of these methods …

Abstract This paper investigates the sensitivity of hedonic models of house prices to the spatial interpolation of … measures of air quality. We consider three aspects of this question: the interpolation technique used, the inclusion of air …, inverse distance weighting, Kriging and splines to carry out spatial interpolation of point measures of ozone obtained at 27 …

interpolation model.This model uses a "mapping partial derivative" and a constrained inverse algorithm to identify the model … interpolation model in tensor form is more terse than in the usual matrix form. …