Publikationsansicht

EUSFLAT- LFA 2005 Fitting Piecewise Linear Copulas to Data (2009)

Abstract
Given a set of n data points (xi, yi, zi) ∈ [0, 1] 3, two methods are established for constructing two piecewise linear copulas, respectively denoted CA(x, y) and CB(x, y), in such a way that CA(xi, yi) and CB(xi, yi) both yield an approximation of zi for all i. If the data points are (randomly) sampled from an unknown copula C, i.e. zi = C(xi, yi), then CA and CB provide two piecewise linear estimates of C. The quality of both estimations is illustrated on synthetic randomized data sets.

Details der Publikation
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.144.1388
Quelle http://www.eusflat.org/publications/proceedings/EUSFLAT-LFA_2005/papers/JEL148.pdf
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Keywords Copulas, Piecewise linear approximation, Piecewise
Typ text
Sprache Englisch