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Researcher
Gerda Claeskens
- Disciplines:Statistics
Affiliations
- Operations Research and Statistics Research Group (ORSTAT) (main work address Leuven) (Research unit)
Member
From1 Nov 2005 → Today - Leuven Statistics Research Centre (LStat) (Research institute)
Member
From1 Jun 2003 → 31 Aug 2003
Projects
11 - 20 of 23
- The effects of selection by regularization in high-dimensions - composite estimation, model averaging and dimension reductionFrom1 Jan 2019 → 31 Dec 2022Funding: FWO research project (including WEAVE projects)
- Inference after model selection and averaging via confidence distributions and curvesFrom15 Sep 2017 → 15 Sep 2021Funding: BOF - doctoral mandates
- Flexible expectile regression and applicationsFrom1 Sep 2017 → 18 Aug 2021Funding: Own budget, for example: patrimony, inscription fees, gifts
- Asymptotic theory for multidimensional statisticsFrom1 Jan 2017 → 31 Dec 2023Funding: FWO scientific research network
- Statistical inference for flexible modelling of functional data.From1 Oct 2015 → 1 Oct 2016Funding: FWO fellowships
- Model estimation and selection for multiresolution graphical models.From1 Oct 2015 → 30 Sep 2018Funding: FWO fellowships
- Innovative Pricing and reserving in non-life insurance.From1 Oct 2013 → 31 Dec 2017Funding: IWT personal funding - strategic basic research grants
- Advanced targeted modeling of risk ans post-selection inference (ATRISKPI).From1 Jan 2013 → 31 Dec 2016Funding: FWO research project (including WEAVE projects)
- Advanced survival analysis for credit risk modeling: innovative techniques, new insights and applications.From1 Jan 2012 → 31 Dec 2015Funding: FWO research project (including WEAVE projects)
- Asymptotic theory for multidimensional statistics.From1 Jan 2012 → 31 Dec 2018Funding: FWO scientific research network
Publications
1 - 10 of 118
- Exact post-selection inference for adjusted R squared selection(2024)
Authors: Sarah Pirenne, Gerda Claeskens
- Uniformly valid inference for partially linear high-dimensional single-index models(2024)
Authors: Gerda Claeskens
- A tradeoff between false discovery and true positive proportions for sparse high-dimensional logistic regression(2024)
Authors: Gerda Claeskens
Pages: 395 - 428 - Comments on: Statistical inference and large-scale multiple testing for high-dimensional regression models(2023)
Authors: Gerda Claeskens
Pages: 1177 - 1179 - Robust and efficient estimation of nonparametric generalized linear models(2023)
Authors: Ioannis Kalogridis, Gerda Claeskens, Stefan Van Aelst
Pages: 1055 - 1078 - Linear manifold modeling and graph estimation based on multivariate functional data with different coarseness scales(2023)
Authors: Gerda Claeskens
Pages: 378 - 387 - Exact uniformly most powerful post-selection confidence distributions(2023)
Authors: Gerda Claeskens
Pages: 358 - 382 - Automatic bias correction for testing in high dimensional linear models(2023)
Authors: Jing Zhou, Gerda Claeskens
Pages: 77 - 98 - Modeling the occurrence of events subject to a reporting delay via an EM algorithm(2022)
Authors: Katrien Antonio, Gerda Claeskens, Jonas Crèvecoeur
Pages: 394 - 410 - Optimal finite sample post-selection confidence distributions in generalized linear models(2022)
Authors: Gerda Claeskens
Pages: 66 - 77