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World of Statistics  
   
 

Patrícia Cortés de Zea Bermudez
PhD in Probability and Statistics (University of Lisbon)

Prof. Auxiliar
Departamento de Estatística e Investigação Operacional
Faculdade de Ciências
Universidade de Lisboa
Bloco C6, Piso 4
Campo Grande, 1749-016 Lisboa, Portugal

  • Gabinete: 6.4.36
  • Telefone (directo): +351 21 750 0182
  • Telefone (secretaria): +351 21 750 0010
  • Telefone: +351 21 750 0000 (ext. 26437)
  • FAX: +351 21 750 0081
  • e-mail: patzea@fc.ul.pt

Patrícia Cortés de Zea Bermudez
Educação:
  • PhD, Probability and Statistics, University of Lisboa, Faculty of Sciences, 2003
  • M. Sc., Probability and Statistics, University of Lisbon, Faculty of Sciences, 1994
  • B. Sc., Applied Mathematics, University Lusíada, Lisbon, 1990
  • Stay in the Department of Engineering Management and Systems Engineering, School of Engineering and Applied Sciences of the George Washington University, Washington DC, USA, April-June 2005
  • Sabbatical Leave, Departamento de Estadística, Universidad Carlos III, Madrid (Spain), April-July 2011
Investigação: Assuntos de interesse:
  • Bayesian Statistics
  • Extreme Value Theory
  • Time Series
  • Spatial-temporal modeling
Outras actividades Profissionais:
  • Assistant Professor, Department of Statistics and Operations Research, University of Lisbon since February 2003
    Teaching Assistant, Department of Statistics and Operations Research, University of Lisbon from 2001 to 2003
  • Teaching Assistant, Faculty of Medical Sciences of Lisbon, Universidade Nova de Lisboa,1992-2001
  • Assistant Director, Statistics and Publications Department and Technical Staff, Studies Department, Portuguese Insurance Institute (ISP), 1995-1996
  • Teaching Assistant, University Lusíada, Lisbon, 1990-1997
  • Teaching Assistant, Internacional University, Lisbon, 1990-1991
  • Teaching Assistant, Healthcare Technical School, Lisbon, 1992-1994
Disciplinas leccionadas:
  • Bayesian Statistics, M. Sc. Biostatistics
    Biostatistics, M. Sc. in Biomedical and Biophysics Engineering
  • Computational Statistics Methods, B. Sc. in Applied Statistics
    Computational Statistics, B. Sc. in Applied Mathematics
  • Biostatistics, B. Sc. in Medical Sciences, Biostatistics, B. Sc. in Biology, Biostatistics, B. Sc. in Pharmaceutical Sciences
    Probability and Statistics, B. Sc. in Physics, Probability and Statistics, B. Sc. in Informatics
Publicações mais recentes:
  • P. de Zea Bermudez, M.A. Amaral Turkman e K. F. Turkman (2015). Parameter Estimation of Bilinear Processes Using Approximate Bayesian Computation. Textos de Matemática 47/Mathematical Texts 47, Departamento de Matemática, FCT, Universidade de Coimbra, 135-151.
     
  • Turkman, K. F., Scotto, M. G. and de Zea Bermudez, P. (2014). Non-linear Time Series: Extreme Events and Integer Value Problems. Springer.
     
  • Luzia Gonçalves, Ana Subtil, Rosário Oliveira e Patricia de Zea Bermudez (2014). ROC Curve Estimation: an overview. REVSTAT – Statistical Journal, Volume 12, Number 1, March 2014, 1-20.
     
  • P. de Zea Bermudez and S. Kotz (2010). Parameter estimation of the generalized Pareto distribution - Part I. Journal Statistical Planning and Inference, 140, 6, 1353-1373 (Review Paper).
    P. de Zea Bermudez and S. Kotz (2010). Parameter estimation of the generalized Pareto distribution - Part II. Journal Statistical Planning and Inference, 140, 6, 1374-1388 (Review Paper).
     
  • J. Mendes, P. de Zea Bermudez, J. Pereira, K. F. Turkman, M. Vasconcelos (2010). Spatial extremes of wildfire sizes: Bayesian hierarchical models for extremes. Environmental and Ecological Statistics, 17, 1, 1-28.

    P. de Zea Bermudez, J. Mendes, J. Pereira, K. F. Turkman, M. Vasconcelos (2009). Spatial and temporal extremes of wildfire sizes in Portugal (1984-2004). International Journal of Wildland Fires, 18, 983-991.
     
Outras Publicações relevantes:
  • Andrés M. Alonso, Patricia de Zea Bermudez and Manuel G. Scotto (2013). Comparing Generalized Pareto models fitted to extreme observations: an application to the largest temperatures in Spain. Stochastic Environmental Research and Risk Assessment (DOI 10.1007/s00477-013-0809-8).
     
  • P. de Zea Bermudez and M. A. Amaral Turkman (2003). Bayesian approach to parameter estimation of the generalized Pareto distribution. Test, Vol. 12, 1, 1-19.

     
  • Bayesian Approach to Extreme Quantile Estimation. PhD Thesis, University of Lisbon, Faculty of Sciences, 2002.
     
  • P. de Zea Bermudez , M. A. Amaral Turkman and K. F. Turkman (2001). A predictive approach to tail probability estimation. Extremes, 4:4, 295-314.
     
  • In search of spatial extremes (with A. Stein, K. F. Turkman, R. Van der Heerd and P. de Bruijn). Environmental Statistics - Analysing data for environmental policy, Novartis Foundation, Wiley, 8-26, 1999.

     

 

     
 
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