Tidligere arrangementer - Side 40
By Ian Barnes from the Natural History Museum, London, UK
Kj?re medisinerstudenter, kolleger, ph.d., bachelor-, og masterstudenter ved Institutt for helse og samfunn, velkommen til fagseminar om klimaendringer i helseutdanning!
A flexible predictive density combination is introduced for large financial data sets which allows for model set incompleteness. Dimension reduction procedures that include learning allocate the large sets of predictive densities and combination weights to relatively small subsets. Given the representation of the probability model in extended nonlinear state-space form, efficient simulation-based Bayesian inference is proposed using parallel dynamic clustering as well as nonlinear filtering, implemented on graphics processing units. The approach is applied to combine predictive densities based on a large number of individual US stock returns of daily observations over a period that includes the Covid-19 crisis period. Evidence on dynamic cluster composition, weight patterns and model set incompleteness gives valuable signals for improved modelling. This enables higher predictive accuracy and better assessment of uncertainty and risk for investment fund management.
Department seminar. Fatih Guvenen is the Curtis L. Carlson professor of economics at the University of Minnesota. He will present the paper: "Skewed Business Cycles" (written with Sergio Salgado and Nicholas Bloom).
This lecture has unfortunately been cancelled.
What would it mean to tell the stories of trees? How can we represent them in ways that do not rely on problematic forms of ventriloquism, which reinscribe inequalities, and which do not rely on various forms of empathy or sympathy? This talk by Dalia Nassar, Associate Professor of Philosophy at the University of Sydney, aims to outline a theory of representation that aims to respond to these questions in relation to trees.
Welcome to the next seminar of the semester, where we will host a talk by Krubeal Danieli (PhD candidate, Fyhn Group, FYSCELL, IBV).
The Ports speaker series features Carola Hein, Professor of Architecture & Urban Planning History at Delft University of Technology (TU Delft)
Stefano Coretta (Edinburgh) will give a guest lecture about why the IPA vowel chart doesn't work
This year's Hassel lecture is headed by Professor Veronique Van Speybroeck. The second day Professor Speybroeck will present the lecture "From quantum mechanics to machine learning: Bridging length and time scales in modeling nanoporous materials at operating conditions."
This year's Hassel lecture is headed by Professor Veronique Van Speybroeck. The second day Professor Speybroeck will present the lecture "From quantum mechanics to machine learning: Bridging length and time scales in modeling nanoporous materials at operating conditions."
Florian Niedermann, Nordic Institute for Theoretical Physics, Stockholm University.
Department seminar. ?rem Gü?eri is an Associate Professor of Economics and Public Policy, Blavatnik School of Government, at the University of Oxford. She will present the paper: "Dynamics of Financing Frictions for R&D."
Felleskollokvium by Prof. Sverre Holm, Dept. of Physics, UiO
This year's Hassel lecture is headed by Professor Veronique Van Speybroeck. The first day Professor Speybroeck will present the lecture "Operando modeling of functional nanostructured materials for sustainable chemistry, nanosensing and clean energy."
This year's Hassel lecture is headed by Professor Veronique Van Speybroeck. The first day Professor Speybroeck will present the lecture "Operando modeling of functional nanostructured materials for sustainable chemistry, nanosensing and clean energy."
Online changepoint detection algorithms based on likelihood-ratio tests have excellent statistical properties. However, a simple exact online implementation is computationally infeasible as, at time T, it involves considering O(T) possible locations for the change. To improve on this, we use functional pruning ideas to reduce the set of changepoint locations that need to be stored at time T to approximately log T. Furthermore, we show how we need only maximise the likelihood-ratio test statistic over a small subset of these possible locations. Empirical results show that the resulting exact online algorithm, which can detect changes under a wide range of models, has a constant-per-iteration cost on average. We consider applications of this algorithm in the context of detecting increases in radiation count that represent astronomical or nuclear events of interest.
The Kolmogorov N-width describes the best possible error one can achieve by elements of an N-dimensional linear space. Its decay has extensively been studied in Approximation Theory and for the solution of Partial Differential Equations (PDEs). Particular interest has occurred within Model Order Reduction (MOR) of parameterized PDEs e.g. by the Reduced Basis Method (RBM). While it is known that the N-width decays exponentially fast (and thus admits efficient MOR) for certain problems, there are examples of the linear transport and the wave equation, where the decay rate deteriorates to N-1/2. On the other hand, it is widely accepted that a smooth parameter dependence admits a fast decay of the N-width. However, a detailed analysis of the influence of properties of the data (such as regularity or slope) on the rate of the N-width seems to lack. In this work, we use techniques from Fourier Analysis to derive exact representations of the N-width in terms of initial and boundary conditions of the linear transport equation modeled by some function g for half-wave symmetric data. For arbitrary functions g, we derive bounds and prove that these bounds are sharp. In particular, we prove that the N-width decays as cr N(-r-1/2) for functions in the Sobolev space, g ∈ Hr. Our theoretical investigations are complemented by numerical experiments which confirm the sharpness of our bounds and give additional quantitative insigh.
?rets Abelprisvinner Luis Caffarelli og tre spesielt inviterte matematikere holder forelesninger som er ?pne for alle.
Invited speaker Professor Jussi Taipale will present at the NCMM Tuesday Seminar on the topic “Towards predicting gene expression from sequence”.
Department seminar. Johannes Haushofer is a Professor of Economics at the Department of Economics, Stockholm University. He will present the paper: "The Comparative Impact of Cash Transfers and Psychotherapy on Psychological and Economic Well-being" (written with Robert Mudida and Jeremy Shapiro).
Department seminar. John Finlay is a postdoc at Columbia Business School. He will present the paper: "Exporters, Credit Constraints, and Misallocation."
Nate Young has made an app that could make the lives of those interested in sound change in Scandinavian a lot easier. Come and see the beta version presented!
In this talk, Stuart Earle Strange, assistant professor of anthropology at Yale-NUS College, Singapore, will explore the contradictions between law, sovereignty, animal agency, and the sacred in Singaporean wildlife conservation.
Department seminar. Hessel Oosterbeek is Professor of Economics at the University of Amsterdam. He will present the paper: "Spillovers of field of study: Siblings, cousins, and neighbors."