• 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.

Meta-Analysis Medicine & Life Sciences
Dupuytren Contracture Medicine & Life Sciences
Psychotic Disorders Medicine & Life Sciences
Cohort Studies Medicine & Life Sciences
Randomized Controlled Trials Medicine & Life Sciences
Confidence Intervals Medicine & Life Sciences
Intraclass Correlation Coefficient Mathematics
Prospective Studies Medicine & Life Sciences

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

Research Output 2014 2020

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

Estimation of local degree distributions via local weighted averaging and Monte Carlo cross-validation

Serra, P. & Mandjes, M., Apr 2020, In : Computational Statistics and Data Analysis. 144, 21 p., 106886.

Research output: Contribution to journalArticleAcademicpeer-review

Heterogeneous networks
Degree Distribution
Cross-validation
Averaging
Topology
1 Downloads (Pure)

Latent variable models for harmonization of test scores: a case study on memory

van den Heuvel, E. R., Griffith, L. E., Sohel, N., Fortier, I., Muniz-Terrera, G. & Raina, P., Jan 2020, In : Biometrical Journal. 62, 1, p. 34-52 19 p.

Research output: Contribution to journalArticleAcademicpeer-review

Latent Variable Models
Score Test
Measurement Invariance
Exchangeability
Observational Study

Activities 2016 2016

  • 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

Press / Media

Conference Summary: Financial Intermediation and Vulnerabilities

Rui M. Castro

20/12/19

1 item of Media coverage

Press/Media: Expert Comment

Journal Of Microbiological Methods

Edwin R. van den Heuvel

20/04/18

1 item of Media coverage

Press/Media: Expert Comment

Flu shot good idea

Edwin R. van den Heuvel

21/11/14

1 item of Media coverage

Press/Media: Expert Comment

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