EN
TR
References
- Albert, J.H. and Chib, S. Bayesian Analysis of Binary and Polychotomous Response Data, Journal of the American Statistical Association 422, 669–679, 1993.
- Gelfand, A.E. and Smith, A.F.M. Sampling-Based Approaches to Calculating Marginal Densities, Journal of the American Statistical Association 85, 398–409, 1990.
- Geweke, J. Evaluating the Accuracy of Sampling Based Approaches to the calculation of Posterior Moments, in: (Bayesian Statistics 4, Oxford University Press, 1992), 169-194.
- Holmes, C.C. and Held, L. Bayesian Auxiliary Variable Models for Binary and Multinomial Regression, Bayesian Analysis 1, 145–168, 2006.
- Lesage, J.P. Applied Econometrics using MATLAB (e-book: http://www.spatialeconometrics.com, 1999).
- Raftery, A.E. and Lewis, S. How many iterations in the Gibbs Sampler?, in: (Bayesian Statistics 4, Oxford University Press, 1992), 763–773.
- Tanner, M.A. Tools for Statistical Inference (Springer-Verlag, NewYork, 1993).
- Tanner, M.A. and Wong, W.H. The Calculation of Posterior Distributions by Data Aug- mentation, Journal of the American Statistical Association 82, 528–550, 1987.
Details
Primary Language
Turkish
Subjects
-
Journal Section
-
Publication Date
February 1, 2008
Submission Date
May 12, 2014
Acceptance Date
-
Published in Issue
Year 2008 Volume: 37 Number: 2
APA
Tektas, D., & Günay, S. (2008). A Bayesian Approach to Parameter Estimation in Binary Logit and Probit Models. Hacettepe Journal of Mathematics and Statistics, 37(2), 167-176. https://izlik.org/JA56ZW29RF
AMA
1.Tektas D, Günay S. A Bayesian Approach to Parameter Estimation in Binary Logit and Probit Models. Hacettepe Journal of Mathematics and Statistics. 2008;37(2):167-176. https://izlik.org/JA56ZW29RF
Chicago
Tektas, D., and S. Günay. 2008. “A Bayesian Approach to Parameter Estimation in Binary Logit and Probit Models”. Hacettepe Journal of Mathematics and Statistics 37 (2): 167-76. https://izlik.org/JA56ZW29RF.
EndNote
Tektas D, Günay S (February 1, 2008) A Bayesian Approach to Parameter Estimation in Binary Logit and Probit Models. Hacettepe Journal of Mathematics and Statistics 37 2 167–176.
IEEE
[1]D. Tektas and S. Günay, “A Bayesian Approach to Parameter Estimation in Binary Logit and Probit Models”, Hacettepe Journal of Mathematics and Statistics, vol. 37, no. 2, pp. 167–176, Feb. 2008, [Online]. Available: https://izlik.org/JA56ZW29RF
ISNAD
Tektas, D. - Günay, S. “A Bayesian Approach to Parameter Estimation in Binary Logit and Probit Models”. Hacettepe Journal of Mathematics and Statistics 37/2 (February 1, 2008): 167-176. https://izlik.org/JA56ZW29RF.
JAMA
1.Tektas D, Günay S. A Bayesian Approach to Parameter Estimation in Binary Logit and Probit Models. Hacettepe Journal of Mathematics and Statistics. 2008;37:167–176.
MLA
Tektas, D., and S. Günay. “A Bayesian Approach to Parameter Estimation in Binary Logit and Probit Models”. Hacettepe Journal of Mathematics and Statistics, vol. 37, no. 2, Feb. 2008, pp. 167-76, https://izlik.org/JA56ZW29RF.
Vancouver
1.D. Tektas, S. Günay. A Bayesian Approach to Parameter Estimation in Binary Logit and Probit Models. Hacettepe Journal of Mathematics and Statistics [Internet]. 2008 Feb. 1;37(2):167-76. Available from: https://izlik.org/JA56ZW29RF