BEFORE

Secção de Estatística e Aplicações Departamento de Matemática Instituto Superior Técnico Av. Rovisco Pais, 1, 1049-001 Lisboa PORTUGAL Tel. + 351 21 8417061 Fax. + 351 21 8417048 E-mail

AFTER

• Assistant professor at the Department of Mathematics of the Instituto Superior Técnico (IST), Technical University of Lisbon (UTL).

Academic degrees:

• PhD in Applied Mathematics at the Department of Mathematics of IST/UTL supervised by Antónia Amaral-Turkman of the Faculty of Sciences, University of Lisbon.
• MSc. in Statistics at the Institute of Mathematics and Statistics, University of São Paulo, supervised by Gilberto A. Paula.
• BSc. in Statistics at the Federal University of Ceará.

Other informations:

• Member of the Brazilian Statistical Association (ABE)
• Member of the Portuguese Statistical Society (SPE)
• Member of the International Society for Bayesian Analysis (ISBA)
• Member of the Spanish Region of the International Biometric Society (SEB)

• Pinto, A.E., André, S., Pereira, T., Silva, G.L. and Soares, J. (2006). DNA flow cytometry but not telomerase activity as predictor of disease-free survival in pT1-2/N0/G2 breast cancer. Pathobiology, 73, 63-70.
• Silva, G.L. and Dean, C.B. (2006). An Introduction to Spatio-temporal Methods for Rates, Proportions and Multi-state Processes (in Portuguese). Brazilian Statistical Association Edition, Caxambu, Brazil (112p).
• Pinto, A.E., Monteiro, P., Silva, G.L., Ayres, J. V. and Soares, J. (2005). Prognostic biomarkers in renal cell carcinoma: Relevance of DNA ploidy in predicting disease-related survival. International Journal of Biological Markers, 20, 249-56.
• Paulino, C.D.M., Silva, G.L. and Achcar, J. (2005). Bayesian analysis of correlated misclassified binary data. Computational Statistical and Data Analysis, 49, 1120-1131.
• Silva, G.L. and Amaral Turkman, M.A. (2004). Bayesian analysis of an additive survival model with frailty. Communications in Statistics -- Theory and Methods, 33, 2517-2533.
• Pinto, A.E., André, S., Mendonça, E., Silva, G.L. and Soares, J. (2003). Overall survival in advanced breast cancer: Relevance of progesterone receptor expression and DNA ploidy in fine-needle aspirates of 392 patients. The International Journal of Biological Markers 18/1, 7-12.
• Silva, G. L. (2001). Bayesian Analysis of Survival Models with Frailty. PhD Thesis (in Portuguese), IST, Technical University of Lisbon (184pg). Abstract.
• Amaral-Turkman, M.A. e Silva, G.L. (2000). Modelos Lineares Generalizados - da teoria à prática (in Portuguese). Edições SPE, Lisboa (151pg).
• Paulino, C.D.M. and Silva, G.L. (1999). On the maximum likelihood analysis of the general linear model in categorical data. Computational Statistical and Data Analysis 30/2, 197-204.

Main interests:

• Bayesian Statistics
• Survival Analysis
• Spatio-Temporal Models
• Generalized Linear and Additive Models
• Computational Statistics

Research projects:

• Center of Statistics and Applications (CEAUL)
• Centre for Mathematics and its Applications (CEMAT)

• Courses for Undergraduate Students of Mathematics (LMAC):
  • Linear Models Analysis (in Portuguese)
  • Inference and Decision I
  • Categorical Data Analysis (in Portuguese)
• Courses for Undergraduate Students of Engineering and others:
  • Probability and Statistics (in Portuguese)
  • Stochastic Models (in Portuguese)
• Courses for Graduate Students of the Applied Mathematics Master (MMA) and Statistics Master:
  • Computational Statistics (in Portuguese)
  • Biomedical Statistics (in Portuguese)

Version 2.2 - Last update: 05-06-2007