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Volumn , Issue , 2006, Pages 96-106

Bayesian ideas and discrete event simulation: Why, what and how

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; CURVE FITTING; DECISION MAKING; DISCRETE EVENT SIMULATION; EXPERIMENTS; MANUFACTURE; PROBLEM SOLVING;

EID: 46149107917     PISSN: 08917736     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WSC.2006.323042     Document Type: Conference Paper
Times cited : (41)

References (58)
  • 1
    • 17744383404 scopus 로고    scopus 로고
    • Computing Bayesian means using simulation. Georgia Tech
    • Andradóttir, S., and P. W. Glynn. 2004. Computing Bayesian means using simulation. Georgia Tech, ISYE Technical Report.
    • (2004) ISYE Technical Report
    • Andradóttir, S.1    Glynn, P.W.2
  • 4
    • 51649134515 scopus 로고
    • An overview of robust Bayesian analysis
    • Berger, J. O. 1994. An overview of robust Bayesian analysis. TEST 3:5-124.
    • (1994) TEST , vol.3 , pp. 5-124
    • Berger, J.O.1
  • 6
    • 0002269120 scopus 로고
    • Limiting behaviour of posterior distributions when the model is incorrect
    • Berk, R. 1966. Limiting behaviour of posterior distributions when the model is incorrect. Annals of Mathematical Statistics 37 (1): 51-58.
    • (1966) Annals of Mathematical Statistics , vol.37 , Issue.1 , pp. 51-58
    • Berk, R.1
  • 7
    • 0000626524 scopus 로고
    • Expected information as expected utility
    • Bernardo, J. 1979. Expected information as expected utility. Annals of Statistics 7:686-690.
    • (1979) Annals of Statistics , vol.7 , pp. 686-690
    • Bernardo, J.1
  • 11
    • 0030212017 scopus 로고    scopus 로고
    • A lower bound for the correct subsetselection probability and its application to discrete event simulations
    • Chen, C.-H. 1996. A lower bound for the correct subsetselection probability and its application to discrete event simulations. IEEE Transactions on Automatic Control 41 (8): 1227-1231.
    • (1996) IEEE Transactions on Automatic Control , vol.41 , Issue.8 , pp. 1227-1231
    • Chen, C.-H.1
  • 12
    • 46149111607 scopus 로고    scopus 로고
    • Efficient computation of optimal budget allocation for discrete event simulation experiment, to appear
    • Chen, C.-H., E. Yücesan, L. Dai, and H. Chen. 2005. Efficient computation of optimal budget allocation for discrete event simulation experiment. IIE Transactions: to appear.
    • (2005) IIE Transactions
    • Chen, C.-H.1    Yücesan, E.2    Dai, L.3    Chen, H.4
  • 13
    • 0033345528 scopus 로고    scopus 로고
    • Regression metamodelling in simulation using Bayesian methods
    • ed. P A. Farrington, H. B. Nembhard, D. Sturrock, and G. Evans
    • Cheng, R. C. H. 1999. Regression metamodelling in simulation using Bayesian methods. In Proceedings of the 1999 Winter Simulation Conference, ed. P A. Farrington, H. B. Nembhard, D. Sturrock, and G. Evans, 330-335.
    • (1999) Proceedings of the 1999 Winter Simulation Conference , pp. 330-335
    • Cheng, R.C.H.1
  • 15
    • 0031334224 scopus 로고    scopus 로고
    • Bayesian analysis for simulation input and output
    • ed. S. Andradóttir, K. Healy, D. Withers, and B. Nelson
    • Chick, S. E. 1997. Bayesian analysis for simulation input and output. In Proceedings of the 1997 Winter Simulation Conference, ed. S. Andradóttir, K. Healy, D. Withers, and B. Nelson, 253-260.
    • (1997) Proceedings of the 1997 Winter Simulation Conference , pp. 253-260
    • Chick, S.E.1
  • 16
    • 0035461003 scopus 로고    scopus 로고
    • Input distribution selection for simulation experiments: Accounting for input uncertainty
    • Chick, S. E. 2001. Input distribution selection for simulation experiments: Accounting for input uncertainty. Operations Research 49 (5): 744-758.
    • (2001) Operations Research , vol.49 , Issue.5 , pp. 744-758
    • Chick, S.E.1
  • 17
    • 17744377663 scopus 로고    scopus 로고
    • Bayesian methods for discrete event simulation
    • ed. R. Ingalls, M. Rossetti, J. Smith, and B. Peters
    • Chick, S. E. 2004. Bayesian methods for discrete event simulation. In Proceedings of the 2004 Winter Simulation Conference, ed. R. Ingalls, M. Rossetti, J. Smith, and B. Peters, 89-100.
    • (2004) Proceedings of the 2004 Winter Simulation Conference , pp. 89-100
    • Chick, S.E.1
  • 19
    • 46149114072 scopus 로고    scopus 로고
    • Chick, S. E., and N. Gans. 2005. The economics of simulation selection procedures. Technical report, INSEAD, Technology and Operations Management Area working paper.
    • Chick, S. E., and N. Gans. 2005. The economics of simulation selection procedures. Technical report, INSEAD, Technology and Operations Management Area working paper.
  • 20
    • 0035460965 scopus 로고    scopus 로고
    • New two-stage and sequential procedures for selecting the best simulated system
    • Chick, S. E., and K. Inoue. 2001a. New two-stage and sequential procedures for selecting the best simulated system. Operations Research 49 (5): 732-743.
    • (2001) Operations Research , vol.49 , Issue.5 , pp. 732-743
    • Chick, S.E.1    Inoue, K.2
  • 21
    • 0035435933 scopus 로고    scopus 로고
    • New procedures for identifying the best simulated system using common random numbers
    • Chick, S. E., and K. Inoue. 2001b. New procedures for identifying the best simulated system using common random numbers. Management Science 47 (8): 1133-1149.
    • (2001) Management Science , vol.47 , Issue.8 , pp. 1133-1149
    • Chick, S.E.1    Inoue, K.2
  • 22
    • 0036563019 scopus 로고    scopus 로고
    • Corrigendum: New selection procedures
    • Chick, S. E., and K. Inoue. 2002. Corrigendum: New selection procedures. Operations Research 50 (3): 566.
    • (2002) Operations Research , vol.50 , Issue.3 , pp. 566
    • Chick, S.E.1    Inoue, K.2
  • 23
  • 26
    • 0002276308 scopus 로고
    • Assessment and propogation of model uncertainty (with discussion)
    • Draper, D. 1995. Assessment and propogation of model uncertainty (with discussion). Journal of the Royal Statistical Society, Series B 57 (1): 45-97.
    • (1995) Journal of the Royal Statistical Society, Series B , vol.57 , Issue.1 , pp. 45-97
    • Draper, D.1
  • 27
    • 0004128474 scopus 로고
    • Cambridge University Press
    • Edwards, A. W. F. 1984. Likelihood. Cambridge University Press.
    • (1984) Likelihood
    • Edwards, A.W.F.1
  • 28
    • 84972543992 scopus 로고
    • Methods for approximating integrals in statistics with special emphasis on Bayesian integration problems
    • Evans, M., and T Swartz. 1995. Methods for approximating integrals in statistics with special emphasis on Bayesian integration problems. Statistical Science 10 (3): 254-272.
    • (1995) Statistical Science , vol.10 , Issue.3 , pp. 254-272
    • Evans, M.1    Swartz, T.2
  • 29
    • 0004581641 scopus 로고    scopus 로고
    • Stochastic search variable selection
    • ed. W. R. Gilks, S. Richardson, and D. J. Spiegelhalter, London: Chapman and Hall
    • George, E. I., and R. E. McCulloch. 1996. Stochastic search variable selection. In Markov Chain Monte Carlo in Practice, ed. W. R. Gilks, S. Richardson, and D. J. Spiegelhalter, 203-214. London: Chapman and Hall.
    • (1996) Markov Chain Monte Carlo in Practice , pp. 203-214
    • George, E.I.1    McCulloch, R.E.2
  • 31
    • 0022909697 scopus 로고
    • Problems in Bayesian analysis of stochastic simulation
    • ed. J. R. Wilson, J. O. Henriksen, and S. D. Roberts
    • Glynn, P. 1986. Problems in Bayesian analysis of stochastic simulation. In Proceedings of the 1986 Winter Simulation Conference, ed. J. R. Wilson, J. O. Henriksen, and S. D. Roberts, 376-383.
    • (1986) Proceedings of the 1986 Winter Simulation Conference , pp. 376-383
    • Glynn, P.1
  • 32
    • 46149088861 scopus 로고    scopus 로고
    • The opportunity cost and OCBA selection procedures in ordinal optimization
    • Submitted
    • He, D., S. E. Chick, and C.-H. Chen. 2006. The opportunity cost and OCBA selection procedures in ordinal optimization. Submitted.
    • (2006)
    • He, D.1    Chick, S.E.2    Chen, C.-H.3
  • 34
    • 84873751778 scopus 로고
    • An invariant form for the prior probability in estimation problems
    • Jeffreys, H. 1946. An invariant form for the prior probability in estimation problems. Proceedings of the Royal Society of London Set A 186:453-461.
    • (1946) Proceedings of the Royal Society of London Set A , vol.186 , pp. 453-461
    • Jeffreys, H.1
  • 40
    • 0033307335 scopus 로고    scopus 로고
    • Computing the distribution function of a conditional expectation via Monte Carlo: Discrete conditioning spaces
    • ed. R A. Farrington, H. B. Nembhard, D. Sturrock, and G. Evans
    • Lee, S.-H., and P. Glynn. 1999. Computing the distribution function of a conditional expectation via Monte Carlo: Discrete conditioning spaces. In Proceedings of the 1999 Winter Simulation Conference, ed. R A. Farrington, H. B. Nembhard, D. Sturrock, and G. Evans, 1654-1663.
    • (1999) Proceedings of the 1999 Winter Simulation Conference , pp. 1654-1663
    • Lee, S.-H.1    Glynn, P.2
  • 41
    • 0000810338 scopus 로고
    • A statistical paradox
    • Lindley, D. 1957. A statistical paradox. Biometrika 44:187-192.
    • (1957) Biometrika , vol.44 , pp. 187-192
    • Lindley, D.1
  • 42
    • 0035696593 scopus 로고    scopus 로고
    • Reducing input distribution uncertainty for simulations
    • ed. B. Peters, J. Smith, M. Rohrer, and D. Madeiros
    • Ng, S.-H., and S. E. Chick. 2001. Reducing input distribution uncertainty for simulations. In Proceedings of the 2001 Winter Simulation Conference, ed. B. Peters, J. Smith, M. Rohrer, and D. Madeiros, 364-371.
    • (2001) Proceedings of the 2001 Winter Simulation Conference , pp. 364-371
    • Ng, S.-H.1    Chick, S.E.2
  • 43
    • 9744246868 scopus 로고    scopus 로고
    • Design of follow-up experiments for improving model discrimination and parameter estimation
    • Ng, S.-H., and S. E. Chick. 2004. Design of follow-up experiments for improving model discrimination and parameter estimation. Naval Research Logistics 51 (8): 1129-1148.
    • (2004) Naval Research Logistics , vol.51 , Issue.8 , pp. 1129-1148
    • Ng, S.-H.1    Chick, S.E.2
  • 49
    • 0012300528 scopus 로고
    • A note on Bayesian design for inference using hierarchical linear model
    • Smith, A. F. M., and I. Verdinelli. 1980. A note on Bayesian design for inference using hierarchical linear model. Biometrika 67 (3): 613-619.
    • (1980) Biometrika , vol.67 , Issue.3 , pp. 613-619
    • Smith, A.F.M.1    Verdinelli, I.2
  • 50
    • 46149104285 scopus 로고    scopus 로고
    • Smith, B. J. 2004. Bayesian output analysis program (BOA) v. 1.1 user's manual. Technical report, Univ. Iowa, 〈http://www.public-health.uiowa.edu/ boa/〉.
    • Smith, B. J. 2004. Bayesian output analysis program (BOA) v. 1.1 user's manual. Technical report, Univ. Iowa, 〈http://www.public-health.uiowa.edu/ boa/〉.
  • 51
    • 0002195443 scopus 로고    scopus 로고
    • Hepatitis B: A case study in MCMC methods
    • ed. W. R. Gilks, S. Richardson, and D. J. Spiegelhalter, London: Chapman and Hall
    • Spiegelhalter, D. J., N. G. Best, W. R. Gilks, and H. Inskip. 1996. Hepatitis B: a case study in MCMC methods. In Markov Chain Monte Carlo in Practice, ed. W. R. Gilks, S. Richardson, and D. J. Spiegelhalter, 21-44. London: Chapman and Hall.
    • (1996) Markov Chain Monte Carlo in Practice , pp. 21-44
    • Spiegelhalter, D.J.1    Best, N.G.2    Gilks, W.R.3    Inskip, H.4
  • 52
    • 1642519696 scopus 로고    scopus 로고
    • A kernel approach to estimating the density of a conditional expectation
    • ed. S. Chick, P. Sánchez, D. Ferrin, and D. Morrice
    • Steckley, S. G., and S. G. Henderson. 2003. A kernel approach to estimating the density of a conditional expectation. In Proceedings of the 2003 Winter Simulation Conference, ed. S. Chick, P. Sánchez, D. Ferrin, and D. Morrice, 383-391.
    • (2003) Proceedings of the 2003 Winter Simulation Conference , pp. 383-391
    • Steckley, S.G.1    Henderson, S.G.2
  • 57
    • 0042736285 scopus 로고    scopus 로고
    • Accounting for parameter uncertainty in simulation input modeling
    • Zouaoui, F., and J. R. Wilson. 2003. Accounting for parameter uncertainty in simulation input modeling. IIE Transactions 35:781-792.
    • (2003) IIE Transactions , vol.35 , pp. 781-792
    • Zouaoui, F.1    Wilson, J.R.2
  • 58
    • 4744376500 scopus 로고    scopus 로고
    • Accounting for inputmodel and input-parameter uncertainties in simulation
    • Zouaoui, F., and J. R. Wilson. 2004. Accounting for inputmodel and input-parameter uncertainties in simulation. HE Transactions 36 (11): 1135-1151.
    • (2004) HE Transactions , vol.36 , Issue.11 , pp. 1135-1151
    • Zouaoui, F.1    Wilson, J.R.2


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