A Model Selection Approach in Statistical Modeling
Year 2010,
Volume: 39 Issue: 1, 131 - 135, 01.01.2010
Turhan Mentes
References
- Box, G. E. P. Robustness in the strategy of scientific model building, In Launer, R. L. & Wilkinson, G. N. (eds.) Robustness in Statistics (Academic Press, New York, 1979).
- Gelfand, A. E. and Ghosh, S. K. Model choice: A minimum posterior predictive loss approach, Biometrika 85, 1–11, 1998.
- Gelfand, A. E. and Dey, D. K. Bayesian Model Choice: Asymptotics and Exact Calculations, J. R. Statist. Soc. B 56, 501-514, 1994.
- Gelman, A., Carlin, J. and Stern, A. Bayesian Data Analysis (Chapman & Hall, 2003).
- Goutis, C. and Robert, C. P. Model choice in generalised linear models: A Bayesian approach via Kullback-Leibler projections, Biometrika 85, 29–37, 1998.
- Hodges, J. S. and Sargent D. J. Counting degrees of freedom in hierarchical and other richly- parameterised models, Biometrika 88, 367–379, 2001.
- Kass, R. E. and Raftery, A. E. Bayes Factors, J. Am. Statist. Assoc. 90, 773–95, 1995.
- O’Hagan, A. Kendall’s Advanced Theory of Statistics. Volume 2B. Bayesian Inference (Arnold, London, 1994)
- Spiegelhalter, D., Thomas, D., Best, N. and Carlin, B. P. Bayesian deviance, the effective number of parameters, and the comparison of arbitrarily complex models, J. R. Statist. Soc. B., 35–42, 1998.
A Model Selection Approach in Statistical Modeling
Year 2010,
Volume: 39 Issue: 1, 131 - 135, 01.01.2010
Turhan Mentes
References
- Box, G. E. P. Robustness in the strategy of scientific model building, In Launer, R. L. & Wilkinson, G. N. (eds.) Robustness in Statistics (Academic Press, New York, 1979).
- Gelfand, A. E. and Ghosh, S. K. Model choice: A minimum posterior predictive loss approach, Biometrika 85, 1–11, 1998.
- Gelfand, A. E. and Dey, D. K. Bayesian Model Choice: Asymptotics and Exact Calculations, J. R. Statist. Soc. B 56, 501-514, 1994.
- Gelman, A., Carlin, J. and Stern, A. Bayesian Data Analysis (Chapman & Hall, 2003).
- Goutis, C. and Robert, C. P. Model choice in generalised linear models: A Bayesian approach via Kullback-Leibler projections, Biometrika 85, 29–37, 1998.
- Hodges, J. S. and Sargent D. J. Counting degrees of freedom in hierarchical and other richly- parameterised models, Biometrika 88, 367–379, 2001.
- Kass, R. E. and Raftery, A. E. Bayes Factors, J. Am. Statist. Assoc. 90, 773–95, 1995.
- O’Hagan, A. Kendall’s Advanced Theory of Statistics. Volume 2B. Bayesian Inference (Arnold, London, 1994)
- Spiegelhalter, D., Thomas, D., Best, N. and Carlin, B. P. Bayesian deviance, the effective number of parameters, and the comparison of arbitrarily complex models, J. R. Statist. Soc. B., 35–42, 1998.
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