Kansrekening en Statistiek


Introductie / missie

The group’s methods include parameter estimation, model fitting, latent variable models, mixed models, missing data, statistical process control, survival & reliability theory, time series analysis, and statistical learning methods.  One of the central themes is the analysis of high-dimensional temporal data sets and other large data sets.

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The Statistics group develops and compares data-analytical methods for analyzing and sampling complex structured correlated data sets.

Over de organisatie

The group actively explores new research lines in Data Science and maintains many strong ties with industry, including biopharmaceutical companies, chemical industry, medical centers and international research institutes. Some examples: the Framingham Heart Study, a long-term longitudinal data set on more than 5000 participants (started in 1948) has resulted in TU/e collaborating with Boston University on new statistical methods. The group also engages in a strong collaboration with the Academic partners of Maelstrom Research, a leading international institute on harmonization of data from multiple cohort studies. The Statistics group also collaborates with the pharmaceutical industry on validation and implementation of rapid microbiological methods to test medicinal products and processes.  

Together with its industrial partners, the group is a leading a Big Data & Reliability Platform. The group is involved in a wide variety of projects:

  • OFF/ON: Dutch PTA-COAST3 project on novel on-line analysis methods for factories.
  • Delphi4Led: an EU Artemis project on new simulation tools for LED design.
  • Daisy 4 Offshore: Dutch TKI project to develop new early failure detection algorithms to support maintenance of offshore wind turbines.
  • The SRE tool: software reliability tool developed together with the Refis company

Vingerafdruk Verdiep u in de onderzoeksgebieden waarop Kansrekening en Statistiek actief is. Deze onderwerplabels komen uit het werk van de leden van deze organisatie. Samen vormen ze een unieke vingerafdruk.

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    Tension fatigue failure prediction for HMPE fibre ropes

    Humeau, C., Davies, P., Smeets, P., Engels, T. A. P., Govaert, L. E., Vlasblom, M. & Jacquemin, F., 1 feb 2018, In : Polymer Testing. 65, blz. 497-504 8 blz.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

    Open Access
  • 3 Citaten (Scopus)
    9 Downloads (Pure)

    Structures in supercritical scale-free percolation

    Heydenreich, M., Hulshof, W. J. T. & Jorritsma, J., 1 aug 2017, In : The Annals of Applied Probability. 27, 4, blz. 2569-2604 36 blz.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

    Open Access
  • 2 Citaten (Scopus)
    55 Downloads (Pure)

    Conditioned, quasi-stationary, restricted measures and escape from metastable states

    Fernández, R., Manzo, F., Nardi, F. R., Scoppola, E. & Sohier, J., 2016, In : The Annals of Applied Probability. 26, 2, blz. 760-793

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

  • 7 Citaten (Scopus)