Computations of mixtures of dirichlet processes
SIAM Journal on Scientific and Statistical Computing
A subjective Bayesian approach to the theory of queues II—Inference and information in M/M/1 queues
Queueing Systems: Theory and Applications
A gradient approach for smartly allocating computing budget for discrete event simulation
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
Selecting the best system: a decision-theoretic approach
Proceedings of the 29th conference on Winter simulation
New development of optimal computing budget allocation for discrete event simulation
Proceedings of the 29th conference on Winter simulation
Bayesian model selection when the number of components is unknown
Proceedings of the 30th conference on Winter simulation
Adaptive stochastic manpower scheduling
Proceedings of the 30th conference on Winter simulation
An approach to ranking and selection for multiple performance measures
Proceedings of the 30th conference on Winter simulation
Comparison of Bayesian and frequentist assessments of uncertainty for selecting the best system
Proceedings of the 30th conference on Winter simulation
Steps to implement Bayesian input distribution selection
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Regression metamodeling in simulation using Bayesian methods
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Sensitivity analysis in ranking and selection for multiple performance measures
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Decision Analysis by Augmented Probability Simulation
Management Science
Bayesian methods: bayesian methods for simulation
Proceedings of the 32nd conference on Winter simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Reducing input parameter uncertainty for simulations
Proceedings of the 33nd conference on Winter simulation
The Prince William Sound Risk Assessment
Interfaces
New Two-Stage and Sequential Procedures for Selecting the Best Simulated System
Operations Research
Ranking and Selection for Steady-State Simulation: Procedures and Perspectives
INFORMS Journal on Computing
A Multiple Attribute Utility Theory Approach to Ranking and Selection
Management Science
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
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
Construction engineering and project management III: monte carlo simulation for schedule risks
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
Bayesian ideas and discrete event simulation: why, what and how
Proceedings of the 38th conference on Winter simulation
Ranking and selection with multiple "targets"
Proceedings of the 38th conference on Winter simulation
Decision Analysis
Getting the Right Mix of Experts
Decision Analysis
Selecting a Selection Procedure
Management Science
Economic Analysis of Simulation Selection Problems
Management Science
Entropy methods for adaptive utility elicitation
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Decision Analysis
Decision Analysis
Decision Analysis
Paradoxes in Learning and the Marginal Value of Information
Decision Analysis
From the Editors---Games and Decisions in Reliability and Risk
Decision Analysis
Optimization via simulation with Bayesian statistics and dynamic programming
Proceedings of the Winter Simulation Conference
Guessing preferences: a new approach to multi-attribute ranking and selection
Proceedings of the Winter Simulation Conference
| Hi-index | 0.00 |
The aim of this expository survey on Bayesian simulation is to stimulate more work in the area by decision analysts. We discuss the main areas of research performed thus far, including input analysis, propagation and estimation of output uncertainty, output analysis, making decisions with simulations, selecting the best simulated system, and applications of Bayesian simulation methods. Throughout, we offer avenues of future research in Bayesian simulation that may be of interest to decision analysts.