Maria da Graça Santos Temido Neves Mendes
Ph.D. in Applied Mathematics (University of Coimbra)

Prof. Auxiliar
Departamento de Matemática, Faculdade de Ciências e Tecnologia da Universidade de Coimbra,
Largo D. Dinis 3000 Coimbra

• Gabinete: 5.15
• Telefone (directo): +351 239 79 1172
• Telefone: +351 239 79 1150 (ext. 362)
• FAX: +351 239 83 2568
• e-mail: mgtm@mat.uc.pt
• Página Pessoal: mgtm@mat.uc.pt

• Ph.D., Applied Mathematics, University of Coimbra, Portugal., 2000.
• Master degree, Probability and Statistics, University of Lisbon, 1992
• B.Sc., Pure Mathematics, University of Coimbra, 1988.

• Extreme Value Theory

• Asymptotic limit of sums

• Assistant Professor, Department of Mathematics, University of Coimbra , since 2000.
• Research Assistant,Department of Mathematics, University of Coimbra, 1997-2000
• Teaching Assistant, Department of Mathematics, University of Coimbra, 1988-1997

• Statistical Methods, Basic Courses in Mathematics and in (several) Engineering
• Mathematical Analysis, Basic Courses in Mathematics and in (several) Engineering

• Looking for max-semistability: a new test for the extreme value condition. Em colaboração com Luísa Canto e Castro e Sandra Dias. Journal of Statist. Plann. Inference, 141, 9, (2011), 3005--3020.
  
  
  
   
• Limit laws for maxima of a stationary random sequence with random sample size. Em colaboração com A. Freitas e J. Hüsler. TEST, (2012), 21, 1, 116--131.
  
   
• On the maximum of periodic integer-valued sequences with exponential type tails via max-semistable laws. Em colaboração com Andreia Hall
  Journal of Statistical Planning and Inference, 142, 7, (2012), 1824--1836.
  
  
   
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  Extremal Behavior of the Generalized Integer-Valued Random Coefficient
  Autoregressive Process. Em colaboração com Luísa Canto e Castro e Dulce Gomes. Advances in regression, survival analysis, extreme values, Markov processes and other statistical applications, Stud. Theor. Appl. Stat. Sel. Papers Stat. Soc., Springer, Heidelberg, (2013), 93--101.
  
  
  
   
• On the extremes stationary gaussian random fields under strong dependence. Publicado em Textos de matemática- DMUC -Contributions in Statistics and Inference: Celebrating Nazaré Mendes Lopes' Birthday, Eds: E. Gonçalves, P. E. Oliveira, C. Tenreiro, 47, (2015), 123--134.