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Researcher
Ingrid Van Keilegom
- Disciplines:Applied mathematics in specific fields, Statistics and numerical methods, Applied economics
Affiliations
- Operations Research and Statistics Research Group (ORSTAT) (main work address Leuven) (Research unit)
Member
From1 Dec 2016 → Today
Projects
1 - 10 of 16
- Inference in cure models when the follow-up is insufficientFrom1 Jan 2024 → TodayFunding: FWO research project (including WEAVE projects)
- Predicting bankruptcy with machine learning methodsFrom29 Sep 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Statistical inference of multivariate data with both additive and multiplicative measurement errors.From28 Sep 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Inference in cure models when the follow-up is insufficientFrom4 Aug 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Quantile estimation for multivariate data using the multivariate generalised hyperbolic distributionFrom25 Oct 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
- Instrumental variable methods under dependent censoringFrom1 Sep 2021 → TodayFunding: FWO fellowships
- Quantile regression for censored data.From1 Oct 2020 → TodayFunding: BOF - doctoral mandates
- Quantile Regression for Censored DataFrom21 Sep 2020 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Advances in Semiparametric Methods for Censored Data and EndogeneityFrom2 Sep 2020 → 18 Sep 2023Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 93
- Predicting time-to-intubation after critical care admission using machine learning and cured fraction information(2024)
Authors: Michela Venturini, Ingrid Van Keilegom, Celine Vens
Pages: 102817 - On variable selection in a semiparametric AFT mixture cure model(2024)
Authors: Motahareh Parsa, Ingrid Van Keilegom
- An information-theoretic approach for the assessment of a continuous outcome as a surrogate for a binary true endpoint based on causal inference: Application to vaccine evaluation(2024)
Authors: Florian Stijven, Geert Molenberghs, Ingrid Van Keilegom, Geert Verbeke
- Copula-based pairwise estimator for quantile regression with hierarchical missing data(2024)
Authors: Geert Molenberghs, Ingrid Van Keilegom
- A test for comparing conditional ROC curves with multidimensional covariates(2024)
Authors: Ingrid Van Keilegom
Pages: 87 - 113 - The Editorial(2024)
Authors: Ingrid Van Keilegom
Pages: 1 - 3 - Probability of default estimation in credit risk using mixture cure models(2024)
Authors: Ingrid Van Keilegom
- Estimation of the density for censored and contaminated data(2024)
Authors: Ingrid Van Keilegom
- A nonparametric instrumental approach to confounding in competing risks models(2023)
Authors: Jad Beyhum, Ingrid Van Keilegom
Pages: 709 - 734 - Advances in Semiparametric Methods for Censored Data and Endogeneity(2023)
Authors: Ingrid Van Keilegom, Jad Beyhum