This paper derives Monte Carlo simulation estimators to compute option price derivatives, i.e., the `Greeks,' under Heston's stochastic volatility model and some variant...
Facing the prospect of teaching a simulation course for the first time can be a bit overwhelming. This panel shares tips and strategies for teaching simulation based upon a wide v...
Michael Freimer, Lee W. Schruben, Theresa M. Roede...
This panel paper presents the views of six researchers and practitioners of simulation modeling. Collectively we attempt to address a range of key future challenges to modeling me...
Simon J. E. Taylor, Peter Lendermann, Ray J. Paul,...
2004 brought a landmark event in the changes to regulations governing hours of service for truck drivers. This paper describes an effort utilizing modeling and simulation for eval...
Adaptive neural network is a powerful tool for prediction of air pollution abatement scenarios. But it is often difficult to avoid overfit during the training of adaptive neural n...