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Bjorn Vandewalle
PhD in Science, Mathematics (Catholic University of Leuven, Belgium)

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Bjorn Vandewalle
Educação:
  • PhD in Science, Mathematics - Catholic University of Leuven, Belgium (2004).
  • Master in Mathematics - Catholic University of Leuven, Belgium (2000).
Investigação: Assuntos de interesse:
  • Extreme Value Statistics
  • Risk Management, Insurance and Reinsurance
  • Hypothesis testing
Outras actividades Profissionais:
  • Postdoctoral researcher (GOA-ARC research project) - AFI, Research Center on Accountancy, Finance and Insurance - Catholic University of Leuven, Belgium (2004-2005).
  • Doctoral researcher (scholarship, FLOF) - Department of Mathematics - Catholic University of Leuven, Belgium (2000-2004)
Disciplinas leccionadas:
  • Applied Statistics and Biometrics for Bio-Engineers (practical course)
  • Statistics of Extremes for Mathematicians and Statisticians (practical course)
  • Probability Theory and Engineering Statistics for Engineers (practical course)
  • Statistical Models and Data-Analysis for Mathematicians and Statisticians (practical course)
Publicações mais recentes:
  • B. Vandewalle, J. Beirlant, A. Christmann and M. Hubert, 2007. A robust estimator for the tail index of Pareto-type distributions. Accepted at Computational Statistics and Data Analysis.
     
  • M.I. Gomes, L. Rodrigues, B. Vandewalle and C. Viseu, 2007. A heuristic adaptive choice of the threshold of bias-corrected Hill estimators. Accepted at Journal of Statistical Computation and Simulation.
     
  • B. Vandewalle and J. Beirlant, 2006. On univariate extreme value statistics and the estimation of reinsurance premiums. Insurance: Mathematics and Economics, 38, 441-459.
     
Outras Publicações relevantes:
  • B. Vandewalle, 2004. Some Robust and Semi-parametric Methods in Extreme Value Theory. PhD Thesis in Science, Mathematics. Catholic University of Leuven.
     
  • J. Segers and B. Vandewalle, 2004. Statistics of Multivariate Extremes. In Beirlant et al. (eds.), Statistics of Extremes -- Theory and Applications, Wiley Series in Probability and Statistics, Wiley.
     

 

     
 
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