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.

Vingerafdruk Duik in de onderzoeksthema's waar Statistics actief is. Deze onderwerplabels komen voort uit het werk van deze leden van de organisatie. Samen vormen ze een unieke vingerafdruk.

Meta-Analysis Medicijnen en Levenswetenschappen

Dupuytren Contracture Medicijnen en Levenswetenschappen

Psychotic Disorders Medicijnen en Levenswetenschappen

Cohort Studies Medicijnen en Levenswetenschappen

Randomized Controlled Trials Medicijnen en Levenswetenschappen

Confidence Intervals Medicijnen en Levenswetenschappen

Intraclass Correlation Coefficient Rekenkunde

Prospective Studies Medicijnen en Levenswetenschappen

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

Profielen

Paulo Serra

p.j.serra@tue.nl

Faculteit Wiskunde & Informatica, Stochastics W&I - Universitair Docent
Faculteit Wiskunde & Informatica, Statistics

Persoon: UD : Universitair Docent

Alessandro Di Bucchianico

a.d.bucchianico@tue.nl

Faculteit Wiskunde & Informatica, Stochastics - Universitair Hoofddocent
Faculteit Wiskunde & Informatica, Stochastics W&I - Universitair Hoofddocent
Faculteit Wiskunde & Informatica, Statistics

Persoon: UHD : Universitair Hoofddocent

Edwin R. van den Heuvel

e.r.v.d.heuvel@tue.nl

Persoon: HGL : Hoogleraar

Onderzoeksoutput 2014 2020

97 Tijdschriftartikel
5 Conferentiebijdrage
5 Artikel recenseren
3 Rapport
8 Meer

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, blz. 253-285 33 blz.

Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer 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 blz., 106886.

Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer 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, blz. 34-52 19 blz.

Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review

Latent Variable Models

Score Test

Measurement Invariance

Exchangeability

Observational Study