Monte Carlo simulation can be readily applied to asset pricing problems with multiple state variables and possible path dependencies because convergence of Monte Carlo methods is ...
There continues to be increasing interest from a broad range of disciplines in agent-based and artificial life simulations. This includes the Department of Defense--which uses sim...
Thomas M. Cioppa, Thomas W. Lucas, Susan M. Sanche...
The choice of which factors to choose to vary in a simulation to effect a change in the measure of interest is difficult. Many factors are a priori judged not to effect the measur...
There is a general understanding in the simulation community that simulation is not reaching its full potential and is not widely used despite its well-known (among simulationists...
Simulation built on assumption and approximation has been traditionally utilized to make predictions prior to construction. Although there are many benefits of simulation such as ...
Tae Hwan Chung, Yasser Mohamed, Simaan M. AbouRizk
We investigate factors that impact the effectiveness of caching to speed up discrete event simulation. Walsh and Sirer have shown that a variant of function caching (staged simula...
Bayesian methods are now used in a variety of ways in discrete-event simulation. Applications include input modeling, response surface modeling, uncertainty analysis, and experime...
An educational web-based virtual factory and simulator environment is presented in this paper. It has been developed for university students to apply various statistical quality c...
Xuesong Chi, Matthew P. J. Pepper, Trevor A. Spedd...
We consider how simulation metamodels can be used to optimize the performance of a system that depends on a number of factors. We focus on the situation where the number of simula...