Colloquia in 2019
Specification of the Near-Earth Space Environment using Data Assimilation Techniques
Ludger Scherliess, Utah State University 2.28.0.10810:15 - 11:45
Over the past decades physics-based data assimilation models have been used in many areas of science and engineering and have found extensive use in…
more ›Pharmacometrics: Analysing and understanding variability and uncertainty in clinical data
Charlotte Kloft , Freie Universität Berlin 2.28.0.10810:15 - 11:45
For new medicines to be approved for therapeutic use, three internationally accepted criteria have to be met: efficacy, safety, quality. Yet, in drug…
more ›Joined Colloquium of SFB 1114 and SFB 1294 with Felix Otto - Effective behavior of random media
Felix Otto, Max-Planck-Institut für Mathematik in den Naturwissenschaften, Leipzig, Germany Campus Griebnitzsee, Building 6, lecture hall H0310:15 -11:15
Felix Otto will speak as invited guest during this joint colloquium of SFB 1114 and SFB 1294 on the
Effective Behavior of random media
Abstract: In…
more ›All-at-once versus reduced formulations of inverse problems and their regularization
Barbara Kaltenbacher, Alpen-Adria Universität Klagenfurt 2.28.0.10810:15 - 11:15
Parameter identification problems typically consist of a model equation, e.g. (systems of) ordinary or partial differential equations, and the…
more ›Ecological Validity of the N170 – a mobile EEG study
Peter König, Universität Osnabrück 2.28.0.10810:15 - 11:15
Are event related potentials, well investigated under laboratory
conditions, a signature of cortical processing during natural behavior?
We…
Neuronal networks and functional connectivity
Patricia Reynaud-Bouret , CNRS/University of Nice, France 2.28.0.10810:15 - 11:15
After giving a short introduction to biological neuronal networks and their
main properties, I will explain why neurobiologists are interested by
…
Efficient implementation of an iterative ensemble smoother for big-data assimilation and reservoir history matching
Geir Evensen, NORCE Norwegian Research Centre, Norway 2.28.0.10810:15 - 11:15
Raanes et al. (2019) revised the iterative ensemble smoother of Chen and Oliver (2013), denoted Ensemble Randomized Maximum Likelihood (EnRML), using…
more ›2nd Kalman Lecture
Karen E. Willcox, Institute for Computational Engineering and Sciences, The University of Texas, USA 2.25.F1.0110:15 - 11:15
Predictive data science for physical systems: From model reduction to scientific machine learning
Achieving predictive data science for physical…
more ›Numerical integrators for the Hamiltonian Monte Carlo sampler
Jesus Sanz-Serna, Universidad Carlos III de Madrid, Spain 2.28.0.10810:15 - 11:15
The Hamiltonian Monte Carlo (HMC) method is a widely used Markov Chain Monte Carlo algorithm that offers the possibility of combining high acceptance…
more ›Distances for discretely observed jump processes and applications in nonparametric statistics
Ester Mariucci, Universität Potsdam 2.28.0.10810:15 - 11:15
The concept of distance is ancient and ubiquitous. Being able to quantify the distance between objects has important applications everywhere in…
more ›Low dimensional approximation of weak constraint variational data assimilation
Melina Freitag, Universität Potsdam 2.28.0.10810:15 - 11:15
Weak constraint four-dimensional variational data assimilation is an important method for incorporating data (typically observations) into a model.…
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