Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctor of Science, Contributions to Nonparametric and Semiparametric Inference based on Statistical Depth, Université Libre de Bruxelles
Award Date: 15 Sept 2013
External positions
Research Fellow (FNRS), Université Libre de Bruxelles
Jul 2016 → Sept 2018
Research Associate, The Open University
Sept 2014 → Jun 2016
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Collaborations and top research areas from the last five years
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IMAL: Imperfect Data : From Mathematical Foundations to Applications in Life Sciences
Legrand, C. (PI), El Ghouch, A. (CoI), Lambert, P. (CoI), Pircalabelu, E. (CoI), Van Bever, G. (CoI) & Van Keilegom, I. (CoI)
1/09/20 → 31/08/25
Project: Research
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High-dimensional and functional classification based on Independent Component Analysis screening and k-sparse density estimation
Van Bever, G. (PI)
1/01/20 → 31/12/21
Project: Research
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How can we best support the advancement of mathematics in developing countries?
Muolo, R. & Van Bever, G., 15 Sept 2023Research output: Other contribution
Open Access -
The Influence Function of Graphical Lasso Estimators
Louvet, G., Raymaekers, J., Van Bever, G. & Wilms, I., 6 Apr 2023, In: Econometrics and Statistics.Research output: Contribution to journal › Article › peer-review
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Flexible integrated functional depths
Van Bever, G., Ilmonen, P., Nagy, S., Helander, S. & Viitasaari, L., Feb 2021, In: Bernoulli : a journal of mathematical statistics and probability. 27, 1, p. 673-701 29 p.Research output: Contribution to journal › Article › peer-review
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On optimal prediction of missing functional data with memory
Van Bever, G., Ilmonen, P., Viitasaari, L., Shafik, N. & Sottinen, T., 2021, 31 p.Research output: Working paper
File96 Downloads (Pure) -
Pareto depth for functional data
Helander, S., Van Bever, G., Rantala, S. & Ilmonen, P., 2 Jan 2020, In: Statistics. 54, 1, p. 182-204 23 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile76 Downloads (Pure)
Activities
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Nonparametric classification and machine learning - introduction, comparison and applications
Muolo, R. (Organiser), Daquin, J. (Organiser), Van Bever, G. (Invited Speaker) & Ley, C. (Invited Speaker)
25 Jan 2023 → 27 Jan 2023Activity: Participating in or organising an event types › Participation in workshop, seminar, course
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Computational and Methodological Statistics
VAN BEVER, G. (Organiser)
Dec 2019Activity: Participating in or organising an event types › Participation in conference
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Functional Independent Component Analysis
VAN BEVER, G. (Speaker)
15 Dec 2019Activity: Talk or presentation types › Invited talk
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Depths for scatter and shape parameters
VAN BEVER, G. (Speaker)
14 Nov 2019Activity: Talk or presentation types › Invited talk
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Meeting of the CLAssification and Data Analysis Group
VAN BEVER, G. (Participant)
11 Nov 2019 → 13 Nov 2019Activity: Participating in or organising an event types › Participation in conference