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World of Statistics  
   
 

Kamil Feridun Turkman
Doutor em Probabilidades e Estatística (University of Sheffield)

Prof. Catedrático
Departamento de Estatística e Investigação Operacional
Faculdade de Ciências
Universidade de Lisboa
Campo Grande, 1749-016 Lisboa, Portugal


Kamil Feridun Turkman
Educação:
  • Agregação(Habilitation degree), Applied Mathematics, University of Lisbon, 1989
  • Equivalence to the degree Doutor em Ciências, Probability and Statistics, Universidade de Lisboa, 1971
  • Ph.D., Statistics, University of Sheffield, U.K., 1980.
  • M.Sc. in Statistics, University of Sheffield, U.K., 1977.
  • B.Sc., in mathematics, Middle East technical University, Ankara, Turkey, 1974.
Investigação: Assuntos de interesse:
  • Environmental statistics
  • Time series
  • Extreme value theory
  • Stochastic Processes
  • Environmental Statistics
Outras actividades Profissionais:
  • Coordinator of the Ph,D. program in Statistics and Operations Research (2013-.)
  • Member of the editorial Board, Journal of Statistical theory and practice
  • Trustee, SPRUCE trust, London
Disciplinas leccionadas:
  • Time series - Master degree in Statistics (2013/2014).
  • Statistical Inference - Licenciatura in Applied Statistics (2013/2014)
  • Stochastic Processes and Simulation - Licenciatura in Applied Mathematics (2013/2014)
  • Statistics in Earth Sciences - Doctoral Program in Earth Sciences (2013/2014)
Publicações mais recentes:
  • Turkman, K.F., Scotto, M., P. de Zea Bermudez (2014) Non-linear Time Series: Extreme Events and Integer Value Problems. Springer, Heidelberg
     
  • J.M.C Pereira and K F Turkman(2017) Satistical models of wildfires; Spatial and temporal patterns. Handbook of Environmental and Ecological Statistics, (eds Alan E. Gelfand, Montserrat Fuentes, Jennifer A. Hoeting, and Richard L. Smith). Chapman and Hall, Boca Raton (in press).
     
  • Pereira JMC, Oom D, Pereira P, Turkman AA, Turkman, KF (2015) Religious Affiliation Modulates Weekly Cycles of Cropland Burning in Sub-Saharan Africa. PLOS one. DOI: 10.1371/journal.pone.0139189. Published 29/09/2015
     
  • DaCamara, C.C., Teresa J. Calado, Sofia L. Ermida, Isabel F. Trigo, Malik Amraoui and KF Turkman. (2014) Calibration of the Fire Weather Index over Mediterranean Europe based on fire activity retrieved from MSG satellite imagery. International Journal of Wildland Fire. 23(7) 945-958.
     
  • Turkman, (2014) On the upcrossings of trigonometric polynomials with random coefficients. Revstat. Volume 12, Number 2, 135–155
     
Outras Publicações relevantes:
  • Turkman, K.F., Amaral Turkman, M.A., Pereira,P. Sa, A., and Pereira, J.(2014) Generating annual fire risk maps using Bayesian hierarchical models. Journal of Statistical Theory and Practice. 8:3, 509-533. DOI:10.1080/15598608.2013.820158
     
  • Sousa Pedro M. , David Barriopedro, Ricardo M. Trigo, Alexandre M. Ramos, Raquel Nieto, Luis Gimeno, Feridun Turkman, Margarida L. R. Liberato. (2016) Impact of Euro-Atlantic blocking patterns in Iberia precipitation using a novel high resolution dataset. Clim Dyn. 46: 2573. doi:10.1007/s00382-015-2718-7
     
  • Turkman, K.F., Amaral Turkman, M.A., Pereira, J.M., Asymptotic models and inference for extremes of spatio-temporal data, EXTREMES (2010), Vol. 13, pp. 375-397.
     
  • P. Pereira, K. F. Turkman, M.A. Amaral Turkman, A. Sa and J. M.C. Pereira (2013) Quantification of annual wildfire risk; A spatio-temporal point process approach. Statistica, 73, 55-68.
     
  • Turkman, K. F. (2006) A note on the extremal index for space-time processes. Journal of Applied Probability 43, 1-13
     

 

     
 
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