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

    5600 MB Eindhoven

    Nederland

Organisatieprofiel

Introductie / missie

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.

Over de organisatie

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.

Netwerk Recente externe samenwerking op landenniveau. Duik in de details door op de stippen te klikken.

Onderzoeksoutput 2014 2019

Additional filtering of blood from a cell salvage device is not likely to show important additional benefits in outcome in cardiac surgery

de Vries, A. J., Vermeijden, W. J., van Pelt, L. J., van den Heuvel, E. R. & van Oeveren, W., mrt 2019, In : Transfusion. 59, 3, blz. 989-994

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

Thoracic Surgery
Blood Cells
Equipment and Supplies
Confidence Intervals
Blood Transfusion

Are there needles in a moving haystack? adaptive sensing for detection of dynamically evolving signals

Castro, R. M. & Tánczos, E., 1 mei 2019, In : Bernoulli. 25, 2, blz. 977-1012 36 blz.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

Sensing
Paradigm
Zero vector
n-dimensional
Zero
1 Citaat (Scopus)

Association of variability in body mass index and metabolic health with cardiometabolic disease risk

Sponholtz, T. R., van den Heuvel, E. R., Xanthakis, V. & Vasan, R. S., 1 jan 2019, In : Journal of the American Heart Association. 8, 7, 30 blz., e010793

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

Open Access
Bestand
Body Mass Index
Obesity
Health
Cardiovascular Diseases
Health Status

Activiteiten 2016 2016

  • 4 Workshop, seminar, cursus of expositie
  • 2 Aangemelde presentatie
  • 1 Congres

Data Driven Operations Management

Alessandro Di Bucchianico (Deelnemer)
24 okt 201626 okt 2016

Activiteit: Types deelname aan of organisatie van een evenementWorkshop, seminar, cursus of expositieWetenschappelijk

Computational Sciences for Future Energy 2016

Alessandro Di Bucchianico (Deelnemer)
11 okt 2016

Activiteit: Types deelname aan of organisatie van een evenementCongresWetenschappelijk

ENBIS-16

Alessandro Di Bucchianico (Spreker)
11 sep 201614 sep 2016

Activiteit: Types gesprekken of presentatiesAangemelde presentatieWetenschappelijk

Scripties/masterproeven

Detecting abnormal behavior in lithography machines

Auteur: Dassen, B., 29 apr 2019

Begeleider: Di Bucchianico, A. (Afstudeerdocent 1), Troisi, L. (Externe persoon) (Externe coach) & Schepens, S. (Externe persoon) (Externe coach)

Scriptie/masterproef: Master

Bestand

Estimation of the global maximiser of noisy functions

Auteur: Omar, F. M., 17 mei 2019

Begeleider: De Andrade Serra, P. (Afstudeerdocent 1)

Scriptie/masterproef: Bachelor

Bestand

Model selection for prediction in generalized linear mixed model

Auteur: Wu, Q., 31 aug 2018

Begeleider: van den Heuvel, E. (Afstudeerdocent 1), Pechenizkiy, M. (Afstudeerdocent 2) & Zhan, Z. (Afstudeerdocent 2)

Scriptie/masterproef: Master

Bestand