Kommande gjesteforelesninger og seminarer
Kamélia Daudel is an Assistant Professor in the Department Information Systems, Data Analytics and Operations at ESSEC Business School in France. Her current research is within the field of approximate inference. She is, in particular, interested in variational inference methods which go beyond the commonly used parametric variational distribution framework and which involve flexible families of divergence measures.
PDE seminar by Dmitry Shepelsky (National Academy of Sciences of Ukraine)
Vi inviterer til folkeforskningskveld om Oslofjorden. For tredje år på rad inviterer vi til folkeforskningskveld om Oslofjorden! Tradisjonen tro får vi besøk av forskere fra UiO og andre fagmiljøer som vil dele sine nyeste funn. Målet med kvelden er å se på hvordan vi sammen kan bidra til å forbedre og bevare økosystemene i fjorden vår. Velkommen til en spennende og viktig kveld!
Anders Rønn-Nielsen is an associate professor of statistics at the Department of Finance at Copenhagen Business School, where he also serves as coordinator of the Center for Statistics. He joined Copenhagen Business School in 2017, following positions at the University of Copenhagen and Aalborg University. He received his PhD in statistics from Aarhus University in 2010.
His research interests include extreme value theory, Lévy-based modelling, statistical methods in efficiency analysis, and financial transfer learning. His work spans both theoretical and applied statistics, with recent research focusing on extreme value theory for spatial random fields, statistical testing in nonparametric efficiency analysis, and transfer learning in financial prediction.
PDE seminar by Dmitry Shepelsky (National Academy of Sciences of Ukraine)
PDE seminar by Ujjwal Koley (TIFR Bangalore)
PDE seminar by Dmitry Shepelsky (National Academy of Sciences of Ukraine)
Geir Storvik is a Professor at the section of Statistics and Data Science, Department of Mathematics, UiO. His main interests are within Bayesian modelling and computational statistics.