Department of Statistics

Jose Romeo

Job title: Postdoctoral Research Fellow
Phone: +64 9 373 7599 ext 88364
Office: 303.222 Science Centre


• Statistical Engineer from the Universidad de Santiago de Chile.

• D.Sc. in Statistics from Universidade de Sao Paulo, Brazil.

• Handball player and intermediate surfer ;-)

Further Information

• Romeo, J.S., Meyer, R. and Reyes-Lopez, F. Hierarchical failure time regression using mixtures for classification of the immune response of Atlantic salmon. Submitted.

• Roman, S.T., Romeo, J.S. and Salinas, V.H. (2014). Bayesian estimation of the limiting availability in the presence of right-censored data, In Press.

• Torres-Aviles, F., Romeo, J.S. and Lopez-Kleine, L. (2014). Data mining and influential analysis of gene expression data for plant resistance genes identification in tomato (Solanum lycopersicum). Electronic Journal of Biotechnology, In Press.

• Bazan, J.L., Romeo, J.S. and Rodrigues, J. (2014). Bayesian skew-probit regression for binary response data. Brazilian Journal of Probability and Statistics, In Press.

• Lopez-Kleine, L., Romeo, J.S. and Torres-Aviles, F. (2013). Gene functional prediction using clustering methods for the analysis of tomato microarray data. 7th International Conference on Practical Applications of Computational Biology & Bioinformatics, Advances in Intelligent Systems and Computing, 222, 1-6.

• Romeo, J.S., Tanaka, N.I., Pedroso-de-Lima, A.C. and Salinas-Torres, V.H. (2013). Large sample properties for a class of copulas in bivariate survival analysis. Metrika, 76, 997-1015.

• Romeo, J.S., Torres-Aviles, F. and Lopez-Kleine, L. (2013). Detection of influent virulence and resistance genes in microarray data through quasi likelihood Modeling. Molecular Genetics and Genomics, 288, 49-61.

• Salinas, V.H., Romeo, J.S. and Peña, J.A. (2010). On Bayesian estimation of a survival curve: Comparative study and examples. Computational Statistics, 25, 375-389.

• Diaz-Ledezma, C., Urrutia, J., Romeo, J.S., Chelen, A., Gonzalez-Wilhelm, L. and Lavarello, C. (2009). Factors associated with variability in length of sick leave because of acute low back pain in Chile. The Spine Journal, 9, 1010-1015.

• Romeo, J.S., Tanaka, N.I. and Pedroso de Lima, A.C. (2006). Bivariate survival modeling: A Bayesian approach based on copulas. Lifetime Data Analysis, 12, 205-222.


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