Title
Beta approximations for bridge sampling
Abstract
We consider the problem of simulating X conditional on the value of X +Y , when X and Y are independent positive random variables. We propose approximate methods for sampling (X|X+Y) by approximating the fraction (X/z|X+ Y = z) with a beta random variable. We discuss applications to Levy processes and infinitely divisible distributions, and we report numerical tests for Poisson processes, tempered stable processes, and the Heston stochastic volatility model.
Year
DOI
Venue
2008
10.1109/WSC.2008.4736115
Winter Simulation Conference
Keywords
Field
DocType
numerical test,approximate method,bridge sampling,beta random variable,simulating x,vy process,infinitely divisible distribution,beta approximation,independent positive random variable,heston stochastic volatility model,stable process,simulation,mean squared error,random processes,poisson process,levy process,approximation theory,levy processes,random variable,sampling methods
Applied mathematics,Stochastic volatility,Random variable,Simulation,Approximation theory,Stochastic process,Sampling (statistics),Poisson distribution,Lévy process,Statistics,Infinite divisibility,Mathematics
Conference
ISBN
Citations 
PageRank 
978-1-4244-2708-6
0
0.34
References 
Authors
3
2
Name
Order
Citations
PageRank
Paul Glasserman149695.86
Kyoung-kuk Kim200.34