On the role of generalized semi-Markov processes in simulation output analysis
WSC '83 Proceedings of the 15th conference on Winter simulation - Volume 1
Bayesian analysis for simulation input and output
Proceedings of the 29th conference on Winter simulation
Sequential Bayesian analysis of simulation experiments
WSC' 90 Proceedings of the 22nd conference on Winter simulation
Bayesian methods: bayesian methods for simulation
Proceedings of the 32nd conference on Winter simulation
Proceedings of the 35th conference on Winter simulation: driving innovation
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
Reliable simulation with input uncertainties using an interval-based approach
Proceedings of the 40th Conference on Winter Simulation
Input uncertainty in outout analysis
Proceedings of the Winter Simulation Conference
Hi-index | 0.00 |
It is argued that Bayesian methodology is an appropriate tool in certain simulation contexts. Computational problems, specific to simulation applications, are then described in some detail; possible remedies are also outlined.