Gjesteforelesninger og seminarer
Kommende
PDE seminar by Konstantina Trivisa (University of Maryland)
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.
PDE seminar by Dmitry Shepelsky (National Academy of Sciences of Ukraine)
PDE seminar by Dmitry Shepelsky (National Academy of Sciences of Ukraine)
PDE seminar by Dmitry Shepelsky (National Academy of Sciences of Ukraine)
Tidligere
QOMBINE/C*-algebra seminar talk by Eduard Ortega (NTNU)
QOMBINE/C*-algebra seminar talk by Franz Luef (NTNU)
PDE seminar by Konstantina Trivisa (University of Maryland)
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.
PDE seminar by Konstantina Trivisa (University of Maryland)
Pardon recently established a type of "cohomology ring of enumeration problems" that all reasonable curve counting theories pair with to produce their invariants. A technical regularization procedure then allows him to prove that, for 3-folds, this ring is generated by local curve elements in the relevant degrees, from which the MNOP correspondence (for primary insertions) between different curve counting theories follows, since it was previously proven in the local curve case. Our work extends this framework to the CY4-fold case, which allows us to prove several curve counting conjectures in the CY4 case. Among the additional technical difficulties in this case is that a more complicated virtual dimension formula leads to more generators than just local curves. In this talk, I will give an overview of this framework and explain the main techniques involved. This is joint work in progress with Ivan Karpov, and partially based on separate work with Jim Bryan.
PDE seminar by Jinghao Cao (Caltech)
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Céline Cunen is a researcher at the Oslo Centre for Biostatistics and Epidemiology (OCBE) at the Oslo University Hospital. There she works on a variety of topics within methodological and applied statistics, including clinical trials. She also holds a part-time position at Peace Research Institute Oslo (PRIO) where she does research on the evaluation of conflict forecasts. She received her PhD in statistics from the University of Oslo in 2018.
A primitive element of a Galois field F is a generator of the group of units F*. Finding such elements is entirely non-trivial and this search has given rise to many interesting results in number theory. If one is willing to assume the generalised Riemann hypothesis, then every (non-silly) integer is primitive to infinitely many prime order fields. Moreover, the least primitive element in such fields is less than the square root of the order. I will present an effective method for finding primitive elements in Galois fields with prime-power order. This method is an amalgamation of my hybrid bound on prime divisors and joint work with J. Punch on prime sieves. I will also discuss some of my recent work on least primitive elements.
QOMBINE seminar by Markus Grassl (International Centre for Theory of Quantum Technologies, University Gdansk)
PDE seminar by Konstantina Trivisa (University of Maryland)