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Gjesteforelesninger og seminarer

Kommende

Tid og sted: –, NHA 1020

PDE seminar by Dmitry Shepelsky (National Academy of Sciences of Ukraine)

Tid og sted: –, Erling Sverdrups plass, Niels Henrik Abels hus, 8th floor

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.

Tid og sted: –, NHA 1020

PDE seminar by Dmitry Shepelsky (National Academy of Sciences of Ukraine)

Tid og sted: –, NHA 1020

PDE seminar by Ujjwal Koley (TIFR Bangalore)

Tid og sted: –, NHA 1020

PDE seminar by Dmitry Shepelsky (National Academy of Sciences of Ukraine)

Tid og sted: –, Erling Sverdrups plass, Niels Henrik Abels hus, 8th floor

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.

Tidligere

Tid og sted: –, NHA B723
Tid og sted: –, Erling Sverdrups plass, Niels Henrik Abels hus, 8th floor

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.

Tid og sted: –, N.H. Abels hus 1120

We prove that a very general quartic sixfold admits no decomposition of the diagonal, and in particular is not stably rational. The proof uses specialization to an explicit quartic sixfold birational to a quadric bundle of the type considered by Colliot-Thélène and Ojanguren. We also prove stable irrationality for very general six-dimensional intersections of four quadrics.

Tid og sted: –, NHA B723
Tid og sted: –, NHA 720

QOMBINE/C*-algebra seminar by Harshit Yadav (Max Planck Institute for Mathematics, Bonn)

Tid og sted: –, Erling Sverdrups plass, Niels Henrik Abels hus, 8th floor

Nial Friel is a Full Professor of Statistics at University College Dublin. He was awarded a PhD in 1999 from the University of Glasgow. Following postdocs at Queensland University of Technology, University of Cambridge, Athens University of Economics and Business, he joined the University of Glasgow as a lecturer in 2002 and was promoted to Reader in 2006. In 2007 he was appointed as a Professor of Statistics at University College Dublin until being promoted to Full Professor of Statistics in 2014, a position which he currently holds. His research interests are in Bayesian Statistics, network analysis, Monte Carlo methods. He served as Joint Editor of the Journal of the Royal Statistical Society, Series B from 2019 to 2022. 

Tid og sted: –, NHA720

QOMBINE / QSTAR seminar by Zhongxia Shang (University of Copenhagen)

Tid og sted: –, NHA 1020

PDE seminar by Konstantina Trivisa (University of Maryland)

Tid og sted: –, NHA 720

QOMBINE/C*-algebra seminar talk by Eduard Ortega (NTNU)

Tid og sted: –, NHA720

QOMBINE/C*-algebra seminar talk by Franz Luef (NTNU)

Tid og sted: –, NHA 1020

PDE seminar by Konstantina Trivisa (University of Maryland)

Tid og sted: –, NHA Room 723
Tid og sted: –, Erling Sverdrups plass, Niels Henrik Abels hus, 8th floor

Yi Yu 于怡 is Professor in Statistics and the Deputy Head of Department (Research) in the Department of Statistics, University of Warwick. She is interested in various aspects of high-dimensional and nonparametric statistics, with a recent interest in trustworthy AI related problems. She has worked in high-dimensional regression, differential privacy, change point analysis, statistical network analysis, nonparametric statistics and functional data analysis.

Tid og sted: –, NHA 1020

PDE seminar by Konstantina Trivisa (University of Maryland)

Tid og sted: –, NHA Room 723
Tid og sted: –, NHA Room 723