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World of Statistics  
   
 

Isabel Cristina Maciel Natário
Doutorada em Estatística e Investigação Operacional (Universidade de Lisboa)

Prof. Auxiliar
Dept. Matemática da Faculdade de Ciências e Tecnologia
da Universidade Nova de Lisboa
Quinta da Torre
2825-114 CAPARICA
PORTUGAL


Isabel Cristina Maciel Natário
Education:
  • PhD, Statistics and Operational Research, Speciality in Probability and Statistics
  • M.Sc., Probability and Statistics, Faculdade de Ciências de Lisboa, Portugal, 1999.
  • B.Sc., Applied Mathematics and Computation, Instituto Superior Técnico da Universidade Técnica de Lisboa, Portugal, 1995.
Research::
  • Spatio-Temporal Statistics
  • Space-State Models
  • Bayesian Analysis; MCMC (Markov Chain Monte Carlo), SMC (Sequential Monte Carlo)
  • Hierarchical Modeling
  • Stochastic Processes
  • Big Data
Other Professional Activities:
  • Assistant Professor, Department of Mathematics of Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa, since 2005.
  • Teaching Assistant, Department of Mathematics of Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa, 1998-1999.
  • Junior Teaching Assistant, Department of Mathematics of Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa, 1998-1999.
  • JuniorTeaching Assistant, Department of Mathematics of Universidade de Évora, 1996-1998.
Courses Lectured:
  • Advanced Topics in Statistical Inference, PhD in Programa Doutoral de Estatística e Gestão do Risco

    Decision Theory, PhD in Programa Doutoral de Estatística e Gestão do Risco
  • Biomedical Statistics, M. Sc.'s in Applied Mathematics.

    Computational Numerical Statistics, M. Sc.'s in Applied Mathematics.
  • Probability and Statistics, B. Sc.'s in Engineering and Mathematics.~

    Econometrics, B. Sc.'s Mathematics.
  • Stochastic Processes, B. Sc.'s Mathematics.
  • Mathematical Analysis, B. Sc.'s in Engineering.
Most recent publications:
  • Natário, I., Figueiredo, I., Carvalho, M.L. (2015). A State Space Model Approach for Modelling the Population Dynamics of Black Scabbardfish in Portuguese Mainland Waters. In Dynamics Games and Science. Edts: Bourguignon, Jean-Pierre and Jeltsch, Rolf and Pinto, Alberto Adrego and Viana, Marcelo. CIM Series in Mathematical Sciences Volume 1: 499-512. url: http://dx.doi.org/10.1007/978-3-319-16118-1\_26
     
  • Simões, P., Shrubsall, S., Natário, I. (2014). A Spatial Econometrics Analysis for Road Accidents in Lisbon. In Computational Science and Its Applications - ICCSA 2014. Edts: Murgante B., Misra S., Rocha A.M.A.C., Torre C., Rocha J.G., Falcão M., Taniar D., Apduhan B.O., Gervasi O. Lecture Notes in Computer Science Volume 8581: 269-283. url: http://dx.doi.org/10.1007/978-3-319-09150-1\_20
     
  • Figueiredo, I., Natário, I., Moura, T., Carvalho, M.L. (2013). Modelling the dynamics of the deep-water shark Centroscymnus coelolepis off mainland Portugal. Aquatic Living Resources, 26: 355 - 364. DOI: http://dx.doi.org/10.1051/alr/2013064
     
  • Nunes, B., Natário, I., Carvalho, M.L. (2013). Nowcasting influenza epidemics using non-homogeneous hidden Markov models. Statistics in Medicine 32(15): 2643-60. doi: 10.1002/sim.5670. Epub 2012 Nov 5.
     
  • Nunes, B., Natário, I., Carvalho, L. (2011). Time series methods for obtaining excess mortality attributable to influenza epidemics. Stat Methods Med Res August 2011 vol. 20 no. 4, 331-345. doi: 10.1177/0962280209340201. Epub 2010 Mar 8.
     
Other relevant publications:
  • Natário, I., Oliveira, M.M., Marques, S. (2014). Using INLA to Estimate a Highly Dimensional Spatial Model for Forest Fires in Portugal. In New Advances in Statistical Modeling and Applications - Studies in Theoretical and Applied Statistics. Editors: António Pacheco, Rui Santos, Maria do Rosário Oliveira, Carlos Daniel Paulino. Pp. 239-247. Springer. DOI: 10.1007/978-3-319-05323-3\_23

     
  • Alves, J., Vilhena, C., Tomás, C., Antunes, I.L. , Metello, J., Natário, I., Puga, M., Casal, E. (2015). VBAC In Women Undergoing IOL With Dinoprostone Versus Spontaneous Labor. The Internet Journal of Gynecology and Obstetrics, 19 (1). DOI: 10.5580/IJGO.28478
     
  • Oliveira, M.M., Natário, I., Marques, S., Garcia-Gonzalo, J., Botequim, B., Borges, J.G., Tomé, M., Pereira, J.M., Tomé, J., Demétrio, C.G.B. (2013). Aplicações Estatísticas em Análise de Catástrofes Naturais. In Matemática do Planeta Terra, Edts Fernando Pestana da Costa, João Teixeira Pinto, Jorge Buescu, pp. 355 - 364. IST Press. Lisboa.
     
  • Carvalho, M.L., Natário, I. (2008). Análise de Dados Espaciais. Sociedade Portuguesa de Estatística. (ISBN: 978-972-8890-18-6)
     
  • Held, L., Natário, I., Fenton, S., Rue, H., Becker, N. (2005). Towards Joint Disease Mapping. Statistical Methods in Medical Research, 14: 61-82.
     

 

     
 
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