BibTex RIS Kaynak Göster

A Bayesian Approach to Parameter Estimation in Binary Logit and Probit Models

Yıl 2008, Cilt: 37 Sayı: 2, 167 - 176, 01.02.2008

Kaynakça

  • 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.
  • Walsh, B. Markov Chain Monte Carlo and Gibbs Sampling, Lecture Notes for EBB, http://www.nitro.biosci.arizona.edu/courses/EEB596/handouts/Gibbs.pdf, 2002.

A Bayesian Approach to Parameter Estimation in Binary Logit and Probit Models

Yıl 2008, Cilt: 37 Sayı: 2, 167 - 176, 01.02.2008

Kaynakça

  • 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.
  • Walsh, B. Markov Chain Monte Carlo and Gibbs Sampling, Lecture Notes for EBB, http://www.nitro.biosci.arizona.edu/courses/EEB596/handouts/Gibbs.pdf, 2002.
Toplam 9 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Matematik
Yazarlar

D. Tektas Bu kişi benim

S. Günay Bu kişi benim

Yayımlanma Tarihi 1 Şubat 2008
Yayımlandığı Sayı Yıl 2008 Cilt: 37 Sayı: 2

Kaynak Göster

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.
AMA Tektas D, Günay S. A Bayesian Approach to Parameter Estimation in Binary Logit and Probit Models. Hacettepe Journal of Mathematics and Statistics. Şubat 2008;37(2):167-176.
Chicago Tektas, D., ve S. Günay. “A Bayesian Approach to Parameter Estimation in Binary Logit and Probit Models”. Hacettepe Journal of Mathematics and Statistics 37, sy. 2 (Şubat 2008): 167-76.
EndNote Tektas D, Günay S (01 Şubat 2008) A Bayesian Approach to Parameter Estimation in Binary Logit and Probit Models. Hacettepe Journal of Mathematics and Statistics 37 2 167–176.
IEEE D. Tektas ve S. Günay, “A Bayesian Approach to Parameter Estimation in Binary Logit and Probit Models”, Hacettepe Journal of Mathematics and Statistics, c. 37, sy. 2, ss. 167–176, 2008.
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 (Şubat 2008), 167-176.
JAMA 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. ve S. Günay. “A Bayesian Approach to Parameter Estimation in Binary Logit and Probit Models”. Hacettepe Journal of Mathematics and Statistics, c. 37, sy. 2, 2008, ss. 167-76.
Vancouver 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):167-76.