Uncertainty and sensitivity studies of models of environmental systems
WSC '96 Proceedings of the 28th conference on Winter simulation
Bayesian analysis for simulation input and output
Proceedings of the 29th conference on Winter simulation
Adaptive stochastic manpower scheduling
Proceedings of the 30th conference on Winter simulation
Problems in Bayesian analysis of stochastic simulation
WSC '86 Proceedings of the 18th conference on Winter simulation
Regression metamodeling in simulation using Bayesian methods
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
An asymptotic allocation for simultaneous simulation experiments
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
An empirical evaluation of several methods to select the best system
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Accounting for input model and parameter uncertainty in simulation
Proceedings of the 33nd conference on Winter simulation
Reducing input parameter uncertainty for simulations
Proceedings of the 33nd conference on Winter simulation
New Two-Stage and Sequential Procedures for Selecting the Best Simulated System
Operations Research
Corrigendum: New Selection Procedures
Operations Research
Bayesian statistics and the monte carlo method: bayesian statistics and the monte carlo method
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Simulation input analysis: joint criterion for factor identification and parameter estimation
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Simulation input modeling: a kernel approach to estimating the density of a conditional expectation
Proceedings of the 35th conference on Winter simulation: driving innovation
Simulation input modeling: prior and candidate models in the Bayesian analysis of finite mixtures
Proceedings of the 35th conference on Winter simulation: driving innovation
Proceedings of the 35th conference on Winter simulation: driving innovation
Proceedings of the 35th conference on Winter simulation: driving innovation
Construction engineering and project management III: monte carlo simulation for schedule risks
Proceedings of the 35th conference on Winter simulation: driving innovation
Kriging interpolation in simulation: a survey
WSC '04 Proceedings of the 36th conference on Winter simulation
Approximation-assisted point estimation
Operations Research Letters
Bayesian ideas and discrete event simulation: why, what and how
Proceedings of the 38th conference on Winter simulation
Simulation metamodels for modeling output distribution parameters
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Bayesian Simulation and Decision Analysis: An Expository Survey
Decision Analysis
| Hi-index | 0.00 |
Bayesian methods are now used in a variety of ways in discrete-event simulation. Applications include input modeling, response surface modeling, uncertainty analysis, and experimental designs for field data collection, selection procedures, and response surface estimation. This paper reviews some fundamental concepts of subjective probability and Bayesian statistics that have led to results in simulation applications.