Geometric Approach to the Lower Estimates of the Supremum of Some Random Processes

Explore a mathematical seminar lecture where Professor Boris Kashin from the Steklov Mathematical Institute of the Russian Academy of Sciences presents geometric approaches for determining lower estimates of supremum in random processes. Delivered as part of the Discretization and Recovery in High-Dimensional Spaces (DRE) programme at the Isaac Newton Institute, delve into advanced mathematical concepts through this 53-minute presentation. Learn from one of the leading mathematical scientists as he shares insights at this prestigious research institute, known for fostering international collaboration and advancing mathematical sciences with applications across science and technology fields.