Onderzoeksoutput per jaar
Onderzoeksoutput per jaar
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.
VN Doelstellingen voor duurzame ontwikkeling
In 2015 stemden de VN-lidstaten in met 17 wereldwijde duurzame ontwikkelingsdoelstellingen (Sustainable Development Goals, SDG's) om armoede te beëindigen, de planeet te beschermen en voor iedereen welvaart te garanderen. Ons werk draagt bij aan de volgende duurzame ontwikkelingsdoelstelling(en):
Vingerafdruk
Verdiep u in de onderzoeksgebieden waarop Statistics actief is. Deze onderwerplabels komen uit het werk van de leden van deze organisatie. Samen vormen ze een unieke vingerafdruk.
Netwerk
Recente externe samenwerking op landen-/regioniveau. Duik in de details door op de stippen te klikken of
Profielen
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Osama Almalik, MSc
- Mathematics and Computer Science, Statistics - Promovendus
Persoon: Prom. : Promovendus
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A comparison of methods for clustering longitudinal data with slowly changing trends
den Teuling, N. G. P., Pauws, S. C. & van den Heuvel, E. R., 1 mrt. 2023, In: Communications in Statistics: Simulation and Computation. 52, 3, blz. 621-648Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open AccessBestand5 Citaten (Scopus)3 Downloads (Pure) -
Big data in official statistics
Daas, P., 26 mei 2023, Eindhoven: Technische Universiteit Eindhoven. 40 blz.Onderzoeksoutput: Boek/rapport › Inaugurale/afscheids rede › Populair
Open AccessBestand -
Binary disease prediction using tail quantiles of the distribution of continuous biomarkers
Paus, M. H. J., van den Heuvel, E. R. & Meddens, M. J. M., jan. 2023, In: Journal of Nonparametric Statistics. 35, 1, blz. 56-87 32 blz.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Datasets
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Software for "Increasing efficacy of contact-tracing applications by user referrals and stricter quarantining"
Goldberg, L. A. (Bijdrager), Jorritsma, J. (Bijdrager), Komjathy, J. (Bijdrager) & Lapinskas, J. (Bijdrager), Zenodo, 9 apr. 2021
Dataset
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Myths about linear and monotonic associations: Pearson’s <i>r</i>, Spearman’s <i>ρ</i>, and Kendall’s <i>τ</i>
van den Heuvel, E. R. (Ontwerper) & Zhan, Z. (Ontwerper), Taylor and Francis Ltd., 3 feb. 2022
DOI: 10.6084/m9.figshare.17041566
Dataset
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Anomaly Detection for a Large Number of Streams: A Permutation-Based Higher Criticism Approach
Stoepker, I. V. (Ontwerper), Castro, R. M. (Ontwerper), Arias-Castro, E. (Ontwerper) & van den Heuvel, E. R. (Ontwerper), Taylor and Francis Ltd., 16 nov. 2022
DOI: 10.6084/m9.figshare.21191367
Dataset
Activiteiten
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Identifying different types of companies via their website texts.
Piet Daas (Spreker)
10 sep. 2021Activiteit: Types gesprekken of presentaties › Keynote spreker › Wetenschappelijk
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Machine Learning from a Statistical Perspective
Marco Puts (Spreker) & Piet Daas (Spreker)
11 mei 2021Activiteit: Types gesprekken of presentaties › Keynote spreker › Professioneel
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Survey and Big Data interactions
Piet Daas (Spreker) & Marco Puts (Spreker)
4 nov. 2020Activiteit: Types gesprekken of presentaties › Keynote spreker › Professioneel
Knipsels
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‘Seeing each other, that’s what it’s all about’
11/04/23
1 item van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
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Eindhoven University of Technology Researchers Have Published New Study Findings on Medical Research Methodology (Comparison of analysis methods and design choices for treatment-by-period interaction in unidirectional switch designs: a ...)
6/12/22
1 item van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
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New deans for the Departments of Mechanical Engineering, Mathematics & Computer Science and Applied Physics & Science Education
20/07/22
1 item van Media-aandacht
Pers / media: Vakinhoudelijk commentaar
Scripties/Masterproeven
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Adaptive label selection for online prediction with expert advice
Auteur: van Eersel, M., 11 mei 2020Begeleider: Castro, R. M. (Afstudeerdocent 1)
Scriptie/Masterproef: Master
Bestand -
A Mathematical and Simulation-based Analysis of Weighted Linear Regression
Auteur: Prikken, L. H. A., 27 jan. 2020Begeleider: van den Heuvel, E. R. (Afstudeerdocent 1) & Regis, M. (Afstudeerdocent 2)
Scriptie/Masterproef: Master
Bestand -
A method for evaluating digitally drawn functions with applications in high school education
Auteur: Chu, V., 2 okt. 2019Begeleider: Castro, R. M. (Afstudeerdocent 1)
Scriptie/Masterproef: Bachelor
Bestand