We introduce a new algorithm for numerically computing the distribution of an increasing function of d dependent, non-negative random variables with a given joint distribution. We prove the convergence of the algorithm and give convergence rates under regularity conditions.

The GAEP algorithm for the fast computation of the distribution of a function of dependent random variables / P. Arbenz, P. Embrechts, G. Puccetti. - In: STOCHASTICS. - ISSN 1744-2508. - 84:5/6(2012 Oct), pp. 569-597.

The GAEP algorithm for the fast computation of the distribution of a function of dependent random variables

G. Puccetti
2012

Abstract

We introduce a new algorithm for numerically computing the distribution of an increasing function of d dependent, non-negative random variables with a given joint distribution. We prove the convergence of the algorithm and give convergence rates under regularity conditions.
convolution; distribution functions; dependent random variables
Settore SECS-S/06 - Metodi mat. dell'economia e Scienze Attuariali e Finanziarie
ott-2012
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/298592
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