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Join this seminar where Dr. Natalia Bochkina from the University of Edinburgh presents her research on the Bernstein-von Mises theorem for scale hyperparameters in inverse problems. This 59-minute talk is part of the "Representing, calibrating & leveraging prediction uncertainty from statistics to machine learning" (RCL) event series hosted by the Isaac Newton Institute. The presentation will explore mathematical concepts related to uncertainty quantification and statistical approaches to inverse problems, with implications for both statistics and machine learning applications. The seminar takes place on May 20th, 2025, from 10:30 to 11:30 in INI Seminar Room 2.
