Research Output per year
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.
Profiles
Alessandro Di Bucchianico
- Department of Mathematics and Computer Science, Stochastics W&I - Associate Professor
- Department of Mathematics and Computer Science, Statistics
- Department of Mathematics and Computer Science, Statistics - Associate Professor
Person: UHD : Associate Professor
Edwin R. van den Heuvel
- Eindhoven MedTech Innovation Center
- Department of Mathematics and Computer Science, Stochastics W&I - Full Professor
- Department of Mathematics and Computer Science, Statistics
- Department of Mathematics and Computer Science, Statistics - Full Professor
Person: HGL : Professor
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 journal › Review article › Academic › peer-review
Open Access
File
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 journal › Article › Academic › peer-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 journal › Article › Academic › peer-review
Open Access
1
Citation
(Scopus)
Activities
Data Driven Operations Management
Alessandro Di Bucchianico (Participant)24 Oct 2016 → 26 Oct 2016
Activity: Participating in or organising an event types › Workshop, seminar, course or exhibition › Scientific
Computational Sciences for Future Energy 2016
Alessandro Di Bucchianico (Participant)11 Oct 2016
Activity: Participating in or organising an event types › Conference › Scientific
ENBIS-16
Alessandro Di Bucchianico (Speaker)11 Sep 2016 → 14 Sep 2016
Activity: Talk or presentation types › Contributed talk › Scientific
Press / Media
Fighting the coronavirus with data science
16/06/20
1 item of Media coverage
Press/Media: Expert Comment
Corona Predictions Eindhoven University of Technology Data Scientists Attract Huge Interest
Edwin R. van den Heuvel & Marta Regis
2/05/20
1 item of Media coverage
Press/Media: Expert Comment
-Eindhoven University of Technology: 'The Netherlands have passed the inflection point in the number of infections'
2/04/20
2 items 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 2019Supervisor: 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 2019Supervisor: 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 2019Supervisor: van den Heuvel, E. R. (Supervisor 1), IJzerman - Boon, P. (Supervisor 2) & Gasparini, M. (External person) (External coach)
Student thesis: Master
File