YoungStatS
The blog of Young Statisticians Europe (YSE)
webinars
Extrapolation to unseen domains: from theory to applications
2024-04-05
Extrapolation to unseen domains: from theory to applications Monday, April 22nd, 2024, 8:00 PT / 11:00 ET / 17:00 CET 3rd joint webinar of the IMS New Researchers Group, Young Data Science Researcher Seminar Zürich and the YoungStatS Project. When & Where: […] Speakers: […]…
webinars
Stochastic Fluid Dynamics
2023-10-14
Stochastic Fluid Dynamics Wednesday, November 15th, 6:00 PT / 9:00 ET / 15:00 CET The study of fluid dynamics equations with white forcing is a classical topic in SPDEs and ergodic theory. Recently a new wave of interest, with a shift in focus towards transport noise, has risen, due to its…
webinars
Algorithmic Fairness
2023-09-19
Algorithmic Fairness Tuesday, October 3rd, 2023, 7:30 PT / 10:30 ET / 16:30 CET 2nd joint webinar of the IMS New Researchers Group, Young Data Science Researcher Seminar Zürich and the YoungStatS Project. When & Where: […] Speakers: […] Abstract: Multi-calibration is a powerful and…
webinars
Recent advances in extreme value theory
2023-04-04
Recent advances in extreme value theory Thursday, April 20th, 6:00 PT / 9:00 ET / 15:00 CET Extreme value theory is concerned with the accurate statistical assessment of the risk of rare events. Such extreme events have small occurrence probabilities but often entail large economic and ecological…
webinars
Distribution generalization and causal inference
2023-02-28
Distribution generalization and causal inference Monday, March 20th, 2023, 7:00 PT / 10:00 ET / 15:00 CET 1st joint webinar of the IMS New Researchers Group, Young Data Science Researcher Seminar Zürich and the YoungStatS Project. When & Where: […] Speakers: […] Abstract:…
webinars
Nonparametric inference based on statistical depth
2022-10-03
Nonparametric inference based on statistical depth Monday, October 17th, 7:00 PT / 10:00 ET / 16:00 CET The notion of center of an object, be it a set of observations, a physical object or a random variable, is difficult to define. This motivated the development of general ways to measure centrality…
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