Variance reduction is of great interest to the creators of Monte Carlo experiments. For example, investment banks use very complicated Monte Carlo simulations to price esoteric mortgage-backed securities. These simulations often run overnight because many Monte Carlo trials are necessary to obtain (by the central limit theorem) a point estimate of some true population parameter, bounded by a relatively small confidence interval. One way to reduce the number of required Monte Carlo trials is to use a variance reduction techniqueComponente Curricular::Educação Superior::Ciências Exatas e da Terra::Probabilidade e Estatístic
Abstract-A variance reduction technique is a method used to reduce the variance of a Monte Carlo Sim...
This paper describes, analyzes and evaluates an algorithm for estimating portfolio loss probabilitie...
In this article we present a new variance reduction technique for estimating the Value-at-Risk (VaR)...
National audienceAdaptive Monte Carlo methods are powerful variance reduction techniques
cohort simulations that reduce the number of simulation replications required to achieve a given deg...
With the expanding use of computer simulation to model and solve industrial engineering problems, th...
Tematem pracy są metody redukcji wariancji wykorzystywane do przyspieszania i usprawniania algorytmó...
The Monte-Carlo method is one of the main method to estimate financial instruments, with this techni...
THE DEFINITION OF THE UNIFORM LINEAR GENERATOR IS GIVEN AND SOME OF THE MOSTLY USED T...
We give an overview of the main techniques for im proving the statistical e ciency of simulation est...
無The Monte Carlo Simulation is the most popular and widely used numerical method on option pricing. ...
Our paper introduces an innovative variance reduction technique to improve Monte Carlo (MC) simulati...
This article investigates several variance reduction techniques in Monte Carlo simulation applied in...
This article investigates several variance reduction techniques in Monte Carlo simulation applied in...
Monte Carlo variance reduction methods have attracted significant interest due to the continuous dem...
Abstract-A variance reduction technique is a method used to reduce the variance of a Monte Carlo Sim...
This paper describes, analyzes and evaluates an algorithm for estimating portfolio loss probabilitie...
In this article we present a new variance reduction technique for estimating the Value-at-Risk (VaR)...
National audienceAdaptive Monte Carlo methods are powerful variance reduction techniques
cohort simulations that reduce the number of simulation replications required to achieve a given deg...
With the expanding use of computer simulation to model and solve industrial engineering problems, th...
Tematem pracy są metody redukcji wariancji wykorzystywane do przyspieszania i usprawniania algorytmó...
The Monte-Carlo method is one of the main method to estimate financial instruments, with this techni...
THE DEFINITION OF THE UNIFORM LINEAR GENERATOR IS GIVEN AND SOME OF THE MOSTLY USED T...
We give an overview of the main techniques for im proving the statistical e ciency of simulation est...
無The Monte Carlo Simulation is the most popular and widely used numerical method on option pricing. ...
Our paper introduces an innovative variance reduction technique to improve Monte Carlo (MC) simulati...
This article investigates several variance reduction techniques in Monte Carlo simulation applied in...
This article investigates several variance reduction techniques in Monte Carlo simulation applied in...
Monte Carlo variance reduction methods have attracted significant interest due to the continuous dem...
Abstract-A variance reduction technique is a method used to reduce the variance of a Monte Carlo Sim...
This paper describes, analyzes and evaluates an algorithm for estimating portfolio loss probabilitie...
In this article we present a new variance reduction technique for estimating the Value-at-Risk (VaR)...