• P.O. Box 513, Department of Methematics and Computer Science

    5600 MB Eindhoven

    Netherlands

Organization profile

Introduction / mission

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

Highlighted phrase

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

Organisational profile

Success stories

Framingham Heart Study A long-term longitudinal data set on more than 5000 participants (started at 1948) has been brought to the TU/e to collaborate with Boston University on new statistical methods.  

Strong collaboration with the Academic partners of Maelstrom Research a leading international institute on harmonization of data from multiple cohort studies. 

Industrial collaboration with pharmaceutical industry on validation and implementation of rapid microbiological methods to test medicinal products and processes.  

Continuous Personal Health as part of the Philips flagship Data Science , is currently developing new methods for monitoring heart characteristics and sleep. 

We are leading a Big Data & Reliability Platform together with industrial partners.

Fingerprint Dive into the research topics where Statistics is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

  • Network Recent external collaboration on country level. Dive into details by clicking on the dots.

    Research Output

    Calcitonin testing for detection of medullary thyroid cancer in people with thyroid nodules

    Verbeek, H. H. G., de Groot, J. W. B., Sluiter, W. J., Muller Kobold, A. C., van den Heuvel, E. R., Plukker, J. T. M. & Links, T. P., 16 Mar 2020, In : Cochrane Database of Systematic Reviews. 3, 3, 93 p., CD010159.

    Research output: Contribution to journalReview articleAcademicpeer-review

    Open Access
    File
  • 11 Downloads (Pure)

    Cliques in rank-1 random graphs: the role of inhomogeneity

    Bogerd, K., Castro, R. M. & van Der Hofstad, R., Feb 2020, In : Bernoulli. 26, 1, p. 253-285 33 p.

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access

    Controlling the accuracy and uncertainty trade-off in RUL prediction with a surrogate Wiener propagation model

    Deng, Y., Bucchianico, A. D. & Pechenizkiy, M., Apr 2020, In : Reliability Engineering and System Safety. 196, 10 p., 106727.

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
  • 1 Citation (Scopus)

    Activities

    • 4 Workshop, seminar, course or exhibition
    • 2 Contributed talk
    • 1 Conference

    Data Driven Operations Management

    Alessandro Di Bucchianico (Participant)
    24 Oct 201626 Oct 2016

    Activity: Participating in or organising an event typesWorkshop, seminar, course or exhibitionScientific

    Computational Sciences for Future Energy 2016

    Alessandro Di Bucchianico (Participant)
    11 Oct 2016

    Activity: Participating in or organising an event typesConferenceScientific

    ENBIS-16

    Alessandro Di Bucchianico (Speaker)
    11 Sep 201614 Sep 2016

    Activity: Talk or presentation typesContributed talkScientific

    Student theses

    A method for evaluating digitally drawn functions with applications in high school education

    Author: Chu, V., 2 Oct 2019

    Supervisor: Castro, R. M. (Supervisor 1)

    Student thesis: Bachelor

    File

    Comparing multinomial, grouped and multivariate control charts for real time monitoring of clean rooms with BioTrak

    Author: van Driel, S., 30 Aug 2019

    Supervisor: van den Heuvel, E. (Supervisor 1) & Zhan, Z. (Supervisor 2)

    Student thesis: Master

    Comparison of parametric and non-parametric approaches for accuracy of quantitative microbiological methods

    Author: De Rosa, S., 25 Nov 2019

    Supervisor: van den Heuvel, E. R. (Supervisor 1), IJzerman - Boon, P. (Supervisor 2) & Gasparini, M. (External person) (External coach)

    Student thesis: Master

    File