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Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Gilks, W. R., S. Richardson, and D. J. Spiegelhalter. 1996. Markov chain monte carlo in practice. London: Chapman and Hall.
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Howard, R. A., and J. E. Matheson. 1984. Influence diagrams. In Readings in the Principles and Applications of Decision Analysis, ed. R. A. Howard, and J. E. Matheson, Strategic Decision Group, Menlo Park, CA.
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Ledersnaider, D. L. 1994. A multi-model, Bayesian, resampling, sequential experimental design for response surface estimation. Ph.D. thesis, University of Michigan, Ann Arbor. Deptartment of Industrial and Operations Engineering, unpublished.
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Madigan, D., and J. York. 1995. Bayesian graphical models for discrete data. International Statistical Review 63(2):215-232.
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Morris, M., T. Mitchell, and D. Ylvisakir. 1993. Bayesian design and analysis of computer experiments: Use of derivative in surface prediction. Technom,etrics 35(3):243-255.
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Raftery, A. E. 1995. Bayesian model selection in social research (with discussion by Andrew Gelman & Donald B. Rubin, and Robert M. Hauser, and a rejoinder). In Sociological Meth,odology 1995, ed. P. V. Marsden, Cambridge, Massachusetts: Blackwells.
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Spiegelhalter, D. J., N. G. Best, W. R. Gilks, and H. Inskip. 1996. Hepatitis B: a case study in MCMC methods. In Marlcov Chain Monte Carlo i,n Practice, ed. W. R. Gilks, S. Richardson, and D. J. Spiegelhalter, London: Chapman and Hall.
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Volinsky, C. T., D. Madigan, A. E. Raftery, and R. A. Kronmal. 1996. Bayesian model averaging in proportional hazard models: Assessing stroke risk. Department of Statistics, University of Washington, Seattle, WA, Technical Report no. 302.
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Wang, J., and B. W. Schmeiser. 1997. Monte Carlo estimation of Bayesian robustness. Forthcoming, IIE Transactions.
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CITED BY 16
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Hsiao-Chang Chen , Chun-Hung Chen , Jianwu Lin , Enver Yücesan, An asymptotic allocation for simultaneous simulation experiments, Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future, p.359-366, December 05-08, 1999, Phoenix, Arizona, United States
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Jason R. W. Merrick , Varun Dinesh , Amita Singh , J. René van Dorp , Thomas A. Mazzuchi, Simulation of large networks: propagation of uncertainty in a simulation-based maritime risk assessment model utilizing Bayesian simulation techniques, Proceedings of the 35th conference on Winter simulation: driving innovation, December 07-10, 2003, New Orleans, Louisiana
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