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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
1 - 10 of 23
- Responsible actuarial and statistical learningFrom22 Sep 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Post-selection inference in advanced statistical modelsFrom26 Sep 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- PhD researcher in StatisticsFrom23 Sep 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Dependencies, including copula-based flexible modelling and applicationsFrom1 Sep 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Actuaries and STatisticians endeavour to design innovative, inclusive insurance products in a changing RISK landscapeFrom1 Jan 2022 → TodayFunding: FWO EOS
- A study of correct statistical inference after model selection took placeFrom1 Sep 2021 → TodayFunding: BOF - doctoral mandates
- Study of dependencies and contemporary data structuresFrom16 Aug 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Asymptotic theory of debiased regularized M-estimatorsFrom1 Nov 2020 → 31 Jan 2023Funding: FWO junior postdoctoral fellowship
- Study of dependencies and post-selection inference for contemporary data structuresFrom1 Oct 2020 → TodayFunding: BOF - projects
- Topics in post-selection inference.From15 Sep 2019 → 1 Apr 2024Funding: BOF - doctoral mandates
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