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World of Statistics  
   
 

Maria Helena Neves Queirós Gonçalves
Doutora em Probabilidades e Estatística (Universidade de Lisboa)

Prof. Auxiliar
Departamento de Matemática
Faculdade de Ciências e Tecnologia
Universidade do Algarve
Campus de Gambelas
8005-139 Faro

  • Gabinete: 2.3
  • Telefone (secretaria): +351 289800905
  • Telefone: +351 289800100 (ext.7646)
  • FAX: +351 289800066
  • e-mail: mhgoncal@ualg.pt

Maria Helena Neves Queirós Gonçalves
Educação:
  • Ph.D., Probability and Statistics, Faculty of Sciences of University of Lisbon, 2003
  • M.Sc., Probability and Statistics, Faculty of Sciences of University of Lisbon, 1997
  • B.Sc., Statistics and Operational Research, Faculty of Sciences of University of Lisbon, 1993
Investigação: Assuntos de interesse:
  • Repeated Measures and Longitudinal Data
  • Computational Statistics
  • Generalized Linear Mixed Models
Outras actividades Profissionais:
  • Assistant Professor, Department of Mathematics, University of Algarve, since 2003
  • Assistant, Department of Mathematics, University of Algarve,1997-2003
  • Teaching Assistant, Department of Mathematics, University of Algarve, 1993-1997
Disciplinas leccionadas:
  • Probability and Statistics, B. Sc. ’s in different areas.
  • Data Analysis, B. Sc. in Mathematics and Aplications
  • Statistical Models, B. Sc. in Mathematics and Aplications
  • Complements of Probability and Statistics, M. Sc. in Mathematics
Publicações mais recentes:
  • Gonçalves, M. H. and Cabral, M. S. (2014). Incomplete longitudinal binary responses in matginal model. Proceedings of COMPSTAT´2014, 21st International Conference on Computational Statistics, 111-117. URL: http://www.compstat2014.org/auxil/Proceedings-COMPSTAT2014.pdf
    (ISBN 978-2-8399-1347-8)

     
  • Cabral, M. S. and Gonçalves, M. H. (2014). A simulation study to assess statistical approaches for longitudinal count data. Proceedings of COMPSTAT´2014. 21st International Conference on Computational Statistics, 25-34. URL: http://www.compstat2014.org/auxil/Proceedings-COMPSTAT2014.pdf.
    (ISBN 978-2-8399-1347-8)

     
  • Carrasquinha, E., Gonçalves, M. H., Cabral, M. Salomé (2013). Generalized Linear Mixed Effects Model in the Analysis of Longitudinal Discrete Data. In Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications, pp 113-120. URL:http://link.springer.com/chapter/10.1007%2F978-3-642-34904-1_11

     
  • Gonçalves, M. H., and Cabral, M. S. (2013). cold: a package for Count Longitudinal Data. Version 1.0-3. URL: http://CRAN.R-project.org/package=cold
     
  • Gonçalves, M. H., Cabral, M. S., and Azzalini, A. (2013). bild: a package for BInary Longitudinal Data, Version 1.1-3. URL: http://CRAN.R-project.org/package=bild
     
Outras Publicações relevantes:
  • Gonçalves, M. H., Cabral, M. S., and Azzalini, A. (2012) “The R package bild for the Analysis of Binary Longitudinal Data”. Journal of Statistical Software, 46 (9) 1-17. URL: http://www.jstatsoft.org/v46/i09/paper
     
  • Gonçalves, M. Helena and Azzalini, A. (2008). Using Markov chains for marginal modelling of binary longitudinal data in an exact likelihood approach. Metron, LXVI, n.2, 157-181.
     
  • Gonçalves, M. Helena, Cabral, M.S., Ruiz de Villa, M. Carme, et al. (2007). Likelihood approach for count data in longitudinal experiments. Computational Statistics & Data Analysis, Vol. 51, 6511-6520.
     
  • Gonçalves, M. Helena and Cabral, M. Salomé. Modelling Longitudinal Count Data with Overdispersion. Proceedings of the 56th Session of the International Statistical Institute (ISI), Lisbon, Portugal, 22-29 August 2007.
     
  • M. Salomé Cabral, M. Helena Gonçalves, P. Duarte-Rodrigues e M. Manuela Branco. Mixed Models Approach to Estimate Time Series: Modelling the Environmental Effect on the Honeybee Egg Laying Activity. Proceedings of the International Workshop on Spatio-Temporal Modelling (Metma 3), Pamplona, Spain, 27-29 September 2006.
     

 

     
 
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