ACM Home Page
Please provide us with feedback. Feedback
Steps to implement Bayesian input distribution selection
Full text PdfPdf (86 KB)
Source Winter Simulation Conference archive
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1 table of contents
Phoenix, Arizona, United States
Pages: 317 - 324  
Year of Publication: 1999
ISBN:0-7803-5780-9
Author
Stephen E. Chick  Department of Industrial and Operations Engineering, The University of Michigan, 1205 Beal Avenue, Ann Arbor, MI
Sponsors
ACM: Association for Computing Machinery
SIGSIM: ACM Special Interest Group on Simulation and Modeling
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 16,   Citation Count: 7
Additional Information:

references   cited by   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/324138.324233
What is a DOI?

REFERENCES

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.

 
Berger, J. O. 1985
Statistical Decision Theory and Bayesian Analysis (2nd ed.). New York: Springer-Verlag.
 
Berger, J. O. and M. Delampady. 1987
Testing precise hypothesis (with discussion). Statistical Science 2, 317- 352.
 
Berger, J. O. and L. R. Pericchi. 1996
The intrinsic Bayes factor for model selection and prediction. Journal of the American Statistical Association 91(433), 109-122.
 
Bernardo, J. M. and A. F. M. Smith. 1994
Bayesian Theory. Chichester, UK: Wiley.
 
Cario, M. C. and B. L. Nelson. 1997
Modeling and generat-ing random vectors with arbitrary marginal distributions and correlation matrix. Northwestern University, IEMS Technical Report.
 
Cheng, R. C. H. 1994
 
Chick, S. E. 1997
 
Chick, S. E. 1999
Input distribution selection for simula-tion experiments: Accounting for input uncertainty. in submission.
 
Cooke, R. M. 1994
Uncertainty in dispersion and depo-sition accident consequence modelling assessed with performance-based expert judgement. Reliability Engi-neering and System Safety 45, 35-46.
 
Draper, D. 1995
Assessment and propogation of model uncertainty (with discussion). Journal of the Royal Sta-tistical Society, Series B 57(1), 45-97.
 
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.
 
Gilks, W. R., N. G. Best, and K. K. C. Tan. 1995
Adaptive rejection metropolis sampling. Applied Statistics 44, 455-472.
 
Kass, R. E. and L. Wasserman. 1996
The selection of prior distributions by formal rules. Journal of the American Statistical Association 91(435), 1343-1370.
 
Law, A. M. and W. D. Kelton. 1991
Simulation Modeling & Analysis (2nd ed.). New York: McGraw-Hill, Inc.
 
Leemis, L. M. 1995
 
Madigan, D. and J. York. 1995
Bayesian graphical models for discrete data. International Statistical Review 63(2), 215-232.
 
O’Hagan, A. 1995
Fractional Bayes factors for model com-parison (with discussion). Journal of the Royal Statis-tical Society, Series B 56, 99-118.
 
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 P. V. Marsden (Ed.), Sociological Methodology 1995. Cambridge, Mass.: Blackwells.
 
Savage, L. J. 1972
The Foundations of Statistics. New York: Dover Publications, Inc.
 
Scott, E. M. 1996
Wagner, M. A. F. and J. R. Wilson. 1995

CITED BY  7