Input modeling for discrete-event simulation
WSC '95 Proceedings of the 27th conference on Winter simulation
Monte Carlo estimation of Bayesian robustness
WSC '93 Proceedings of the 25th conference on Winter simulation
Selecting the best system: a decision-theoretic approach
Proceedings of the 29th conference on Winter simulation
Hepatitis B: a case study in MCMC
Proceedings of the NATO Advanced Study Institute on Learning in graphical models
Problems in Bayesian analysis of stochastic simulation
WSC '86 Proceedings of the 18th conference on Winter simulation
WSC '86 Proceedings of the 18th conference on Winter simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
A Bayesian batch means methodology for analysis of simulation output
WSC '83 Proceedings of the 15th conference on Winter simulation - Volume 1
Multistage bayesian surrogates and optimal sampling for engineering design and process improvement
Multistage bayesian surrogates and optimal sampling for engineering design and process improvement
Approximation-assisted point estimation
Operations Research Letters
Selecting the best system: a decision-theoretic approach
Proceedings of the 29th conference on Winter simulation
Advanced input modeling for simulation experimentation
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
Bayesian methods: bayesian methods for simulation
Proceedings of the 32nd conference on Winter simulation
Distributed web-based simulation optimization
Proceedings of the 32nd conference on Winter simulation
Reducing input parameter uncertainty for simulations
Proceedings of the 33nd conference on Winter simulation
Simulation Budget Allocation for Further Enhancing theEfficiency of Ordinal Optimization
Discrete Event Dynamic Systems
A New Algorithm for Stochastic Discrete Resource AllocationOptimization
Discrete Event Dynamic Systems
Input modeling: input model uncertainty: why do we care and what should we do about it?
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
Reducing parameter uncertainty for stochastic systems
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Bayesian methods for discrete event simulation
WSC '04 Proceedings of the 36th conference on Winter simulation
Kriging interpolation in simulation: a survey
WSC '04 Proceedings of the 36th conference on Winter simulation
Bayesian ideas and discrete event simulation: why, what and how
Proceedings of the 38th conference on Winter simulation
Reliable simulation with input uncertainties using an interval-based approach
Proceedings of the 40th Conference on Winter Simulation
Bayesian Simulation and Decision Analysis: An Expository Survey
Decision Analysis
A simple model for assessing output uncertainty in stochastic simulation systems
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Input uncertainty in outout analysis
Proceedings of the Winter Simulation Conference
Multiple input and multiple output simulation metamodeling using Bayesian networks
Proceedings of the Winter Simulation Conference
A framework for input uncertainty analysis
Proceedings of the Winter Simulation Conference
Hi-index | 0.00 |