The AEP algorithm for the fast computation of the distribution of the sum of dependent random variables
arXiv:1106.2920 · doi:10.3150/10-BEJ284
Abstract
We propose a new algorithm to compute numerically the distribution function of the sum of dependent, non-negative random variables with given joint distribution.
arXiv commentPublished in at http://dx.doi.org/10.3150/10-BEJ284 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)
References in corpus (2)
Cited by in corpus (4)
- Risk aggregation with empirical margins: Latin hypercubes, empirical copulas, and convergence of sum distributions
- Further Properties of Wireless Channel Capacity
- Explicit Bounds for the Distribution Function of the Sum of Dependent Normally Distributed Random Variables
- Simulation Methods for Robust Risk Assessment and the Distorted Mix Approach