Publicações

[28] Identifiability analysis using data cloning , José Augusto Sartori Junior and Márcia D'Elia Branco (2024). REVSTAT, vol.22,1, 87-110.

[27] Bias correction in clustered underreported data , Guilherme L. Oliveira, Rafaele Argiento, Rosangela H. Loschi, Renato M. Assunção, Fabrizio Ruggeri and Márcia D'Elia Branco (2022). Bayesian Analysis,vol.17,1, 95-126 .

[26] Measurement of the nonsense word fluency: Bayesian approach to item response model with speededness , Jorge Luis Bazán, Luis Valdivieso and Márcia D'Elia Branco (2017). Biometric Brazilian Journal, vol.35,pp .

[25] Concentration function for the skew-normal and skew-t distributions, with application in robust Bayesian analysis , Luciana G. Godoi, Márcia D. Branco e Fabrizio Ruggeri (2017). Brazilian Journal of Probability and Statistics, vol.31, 373-393.

[24] Bayesian state-space approach to biomass dynamic models with skewed and heavy-tailed error distributions , Carlos Montenegro e Márcia Branco (2016). Fisheries Research, vol.181, 48-62.

[23] Bayesian robustness under a skew-normal class of prior distribution , Luciana Graziela de Godoi e Márcia D. Branco (2014). International Journal of Approximate Reasoning, vol. 55, 5, 1235-1251.

[22] Extensions of the Skew Normal Ogive Item Response Model , Jorge Luis Bazán, Márcia Branco and Heleno Bolfarine(2014). Brazilian Journal of Probability and Statistics, vol.28,1, 1-23.

[21] Objective Bayesian analysis of skew-t distributions , Marcia D. Branco, Marc G. Genton and Brunero Liseo(2013). Scandinavian Journal of Statistics, vol.40,1, 63-85. .

[20] A fully Bayesian parametric approach for cytogenetic dosimetry , Carlos Daniel Paulino, Giovani L.Silva and Marcia Branco(2013). Brazilian Journal of Probability and Statistics, vol.27,1, 70-83. .

[19] Latent residual analysis in binary regression with skewed link , Rafael B. A. Farias and Marcia D. Branco(2012). Brazilian Journal of Probability and Statistics, vol.26,4, 344-357. .

[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.

[1] The application of Bayes' theorem in natural products as a guide for skeletons identification, Emerenciano, V D; Ferreira, MJP; Branco, MD; Dubois, JE..(1998). Chemometrics and Intelligent Laboratory Systems,40:83-92.

Relatórios Técnicos

[4] Robust linear mixed model using the skew-t distribution , Cristian Luis Bayes and Márcia D. Branco (2007). RT-MAE 2007-12 .

[3] A new family of asymmetric models for item response theory: A skew-normal IRT family , Jorge Luis Bazán, Heleno Bolfarine and Márcia D.Branco(2004). RT-MAE 2004-17 .

[2] Bayesian Reference Analysis for Binomial Calibration Problem , Chaibub Neto, E. and Branco,M.D. (2003). RT-MAE 2003-12 .

[1] The exercise of coherent statistical inference, Weschler,S. and Branco,M., (1995). RT-MAE 9524 .




Livros


Tese de doutorado e mestrado