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A Bayesian Approach for Accelerated Failure Time Model with Skewed Normal Error
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 Title & Authors
A Bayesian Approach for Accelerated Failure Time Model with Skewed Normal Error
Kim, Chansoo;
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 Abstract
We consider the Bayesian accelerated failure time model. The error distribution is assigned a skewed normal distribution which is including normal distribution. For noninformative priors of regression coefficients, we show the propriety of posterior distribution. A Markov Chain Monte Carlo algorithm(i.e., Gibbs Sampler) is used to obtain a predictive distribution for a future observation and Bayes estimates of regression coefficients.
 Keywords
Accelerated failure time model;Markov Chain Monte Carlo;Skewed normal distribution;
 Language
Korean
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 References
1.
Biometrika, 1996. vol.83. pp.715-726 crossref(new window)

2.
Technical Report, Department of Statistics, University of Connecticut, 2000.

3.
Journal of the American Statistical Association, 1999. vol.94. pp.1172-1186 crossref(new window)

4.
Biometrika, 1988. vol.75. pp.693-704 crossref(new window)

5.
Biometrics, 1965. vol.21. pp.826-838 crossref(new window)

6.
The Annals of Statistics, 1973. vol.1. pp.209-230 crossref(new window)

7.
Statistics and Probability Letters, 1989. vol.8. pp.179-184 crossref(new window)

8.
The Statistical Analysis of Failure Time Data, 1980.

9.
Computer J., 1965. vol.7. pp.308-313 crossref(new window)

10.
Applied Statistics, 1971. vol.20. pp.338-345 crossref(new window)

11.
Technical Report, University of Southampton, 2001.

12.
Biometrics, 1999. vol.55. pp.477-483 crossref(new window)

13.
Technical Report, Department of Statistics, University of Connecticut, 2000.

14.
Journal of the American Statistical Association, 1976. vol.71. pp.400-405 crossref(new window)