1. A.A. Zilko (2017). Mixed Discrete-Continuous Railway Disruption-Length Models with Copulas. [official picture]
  2. R.C. Kraaij (2016). Semigroup Methods for Large Deviations of Markov Processes. [official picture]
  3. C. Pelekis (2014). Search Games on Hypergraphs. [official picture]
  4. P.L. Gradowska (2013). Food Benefit-Risk Assessment with Bayesian Belief Networks and Multivariable Exposure-Response.
  5. H. Don (2013). Reflecting walls dissipating tiles. [official picture]
  6. D. Kong (2012). Fractals and Moving Plumes. [official picture]
  7. R.E.J. Neslo (2011). Discrete Decisions with Model Validation using Probabilistic Inversion.
  8. O.M. Napoles (2010). Bayesian Belief Nets and Vines in Aviation Safety and other Applications
  9. A.M. Hanea (2008). Algorithms for non-parametric Bayesian belief nets. [official picture]
  10. D. Lewandowski (2008). High Dimensional Dependence Copulae, Sensitivity, Sampling.
  11. H. van den Esker (2008). Random graphs: from static to dynamic graphs.
  12. F.J. Permana (2008). Contributions to the Financial Mathematics of Energy Markets.
  13. M.J. Kallen (2007). Markov Processes for maintenance optimization of civil infrastructure in the Netherlands.
  14. J.H.M. Anderluh (2007). Probabilistic methods in exotic option pricing.
  15. C. Bunea (2003). Mathematical Models for Reliability Data.
  16. Y. Hartono (2003). Ergodic Properties if Continued Fraction Algoriths.
  17. Suyono (2003). Renewal Processes and Repaireble Systems.
  18. B.C.P. Kraan (2002). Probabilistic inversion in Uncertainty Analysis.
  19. M.J. Klok (2002). Performance Analysis of Advanced Third Generation Receivers.
  20. P. van der Wal (2002). Random substitutions and fractal percolation.

© 2017 TU Delft