[22] Extensions of the Skew Normal Ogive Item Response Model , Jorge Luis Bazán, Márcia Branco and Heleno Bolfarine(2012). Brazilian Journal of Probability and Statistics, to appear. .

[21] Objective Bayesian analysis of skew-t distributions , Marcia D. Branco, Marc G. Genton and Brunero Liseo(2012). Scandinavian Journal of Statistics, to appear. .

[20] A fully Bayesian parametric approach for cytogenetic dosimetry , Carlos Daniel Paulino, Giovani L.Silva and Marcia Branco(2011). Brazilian Journal of Probability and Statistics, to appear. .

[19] Latent residual analysis in binary regression with skewed link , Rafael B. A. Farias and Marcia D. Branco(2011). Brazilian Journal of Probability and Statistics, to appear. .

[18] Efficient Algorithms for Bayesian Binary Regression Model with Skew-Probit Link , Rafael B.A. Farias and Márcia Branco (2011). In: Recent Advances in Biostatistics, Chapter 8. Edited by M.C. Bhattacharjee, S.K. Dhar and S. Subramanian. World Scientific Press.

[17] A framework for skew-probit links in binary regression , Jorge Luis Bazán, Heleno Bolfarine and Márcia D.Branco(2010). Communication in Statistics - Theory and Methods, vol.39, 4, 678-697 .

[16] Bayesian analysis for nonlinear regression model under skewed errors, with application in growth curves , Rolando De la Cruz and Márcia D.Branco(2009). Biometrical Journal, vol.51, 4, 588-609 .

[15] Bayesian inference for the skewness parameter of the scalar skew-normal distribution , Cristian L. Bayes and Marcia D. Branco(2007). Brazilian Journal of Probability and Statistics, v.21,2,141-163 .

[14] Reference analysis for the p-dimensional linear calibration problem , Elias Chaibub Neto and Márcia D´Elia Branco (2007). Brazilian Journal of Probability and Statistics, v.21,2,121-139 .

[13] Bivariate random effect model using skew normal distribution with application to HIV-RNA , Pulak Ghosh, Márcia D. Branco and Hrishikesh Chakraborty (2007). Statistics in Medicine,v.26,6,1255-1267 . BUGS Code.

[12] A Unified view on skewed distributions arising from selections , Reinaldo Arellano-Valle, Márcia D. Branco and Marc G. Genton (2006). The Canadian Journal of Statistics,v.34,4,581-601 .

[11] A skew item reponse model , Jorge Luis Bazán, Márcia D.Branco and Heleno Bolfarine(2006). Bayesian Analysis,vol.1,4,861-892 .

[10] Bayesian sensitivity analysis and model comparison for skew elliptical models , Ignacio Vidal, Pilar Iglesias, Márcia D.Branco and Reinaldo Arellano-Valle(2006). Journal of Statistical Planning and Inference, vol.136, 3435-3457. .

[9] Bayesian sensitivity analysis in skew elliptical models , Ignacio Vidal, Pilar Iglesias and Márcia Branco (2005). In: Bayesian Thinking, Modeling and Computation, Chapter 23. Edited by D.K.Dey and C.R. Rao. Handbook of Statistics, 25. Elsevier.

[8] A new class of multivariate skew distributions with aplications to Bayesian regression models, Sujit K. Sahu, Dipak K. Dey and Márcia D. Branco (2003). The Canadian Journal of Statistics, vol.31,2, 129-150. Erratum (2009). The Canadian Journal of Statistics, vol.37,2, 301-302.

[7] Bayesian and classical solutions for binomial cytogenetic dosimetry problems, Branco,M;Bolfarine,H.;Inglesias,P. and Arellano-Valle,R. (2003). Journal of Data Science, vol. 1, 65-82.

[6] A nonparametric Bayesian modelling approach for cytogenetic dosimetry, Kottas, A., Branco, M.D. and Gelfand, A.E., (2002). Biometrics, 58, 593-600.

[5] Regression model under skew elliptical error distribution, Branco, M.D. and Dey, D.K.,(2002). The Journal of Mathematical Sciences, Delhi, New Series, Vol. 1, 151-169.

[4] A class of multivariate skew-elliptical distributions, Branco,M.D. and Dey, D.K. (2001). Journal of Multivariate Analysis, 79, 99-113.

[3] Bayesian analysis of the calibration problem under elliptical distributions, Branco,M.;Bolfarine,H.; Inglesias,P. and Arellano-Valle,R. (2000). Journal of Statistical Planning and Inference, 90, 69-85

[2] Bayesian Calibration under a Student-t model, Branco, M.; Bolfarine, H. and Iglesias,P. (1998). Computational Statistics, 13, 319-338.

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