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

Anahtar Kelimeler:

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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.