@inproceedings{919c525498fc4459b5fc162ceb3e3a92,
title = "Database Monte Carlo for simulation on demand",
abstract = "In the simulation-on-demand paradigm, we invest computational effort by running a simulation experiment before a question is asked, and then we quickly provide an answer by making use of the results of the earlier simulation experiment. This can be done by building a metamodel, but standard metamodeling methods used in stochastic simulation have the disadvantage that they require validation. We show how to use Database Monte Carlo with control variates to provide simulation-on-demand without metamodel validation.",
author = "Imry Rosenbaum and Jeremy Staum",
year = "2016",
month = feb,
day = "16",
doi = "10.1109/WSC.2015.7408206",
language = "English (US)",
series = "Proceedings - Winter Simulation Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "679--688",
booktitle = "2015 Winter Simulation Conference, WSC 2015",
address = "United States",
note = "Winter Simulation Conference, WSC 2015 ; Conference date: 06-12-2015 Through 09-12-2015",
}