Asymptotic Methods in Statistics

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probability statistics theory data analysis, statistics and probability

Institute of Mathematics, Natl. Acad. Sci. Ukraine

Audience: Researchers in the topic
Seminar series time: Wednesday 14:00-15:00 in your time zone, UTC
Organizers: Alexander Kukush*, Rostislav Mayboroda
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Abstract: In ensemble-based probabilistic weather forecasting, it is often necessary to verify multidimensional predictions using verification scores. Such multidimensional quantities can be, for example, values of a weather variable taken at different locations, a set of several weather quantities, or simply the two-dimensional wind vector. Assuming multivariate normality of the forecasts, we determine the dependence of two different verification measures on the ensemble size and provide their sample size-adjusted fair versions. We demonstrate the usefulness of the application of fair scores using real weather forecasts and simulation studies, also examining their robustness with respect to deviations from normality.

Upcoming talks
Past talks
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WedApr 2214:00Prof. Dr. Baran SandorFair Scores for Multivariate Gaussian Forecasts
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WedApr 1514:00Doctor of Phys. and Math. Sc., Leading Researcher Sergiy ShklyarMultiframe resolution enhancement in a frequency domain
WedApr 0814:00PhD student Viktor Hladun (National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”)On uniform Strong Law of Large Numbers for weighted shot noise and consistency of the Least Squares Estimator of chirp signal parameters
ThuApr 0204:00Prof. Dr. Igor Mandel (NJ, USA) & Prof.Dr. Stan Lipovetsky (MN, USA)Simulation-Based Insights and Novel Criteria for Linear Regression Modeling
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