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| Summer Term 2014, Doctoral School Events | |
| 2014-03-14 | Doctoral School Seminar (Seminarraum 2 des Instituts für Geometrie, Kopernikusgasse 24, CANCELLED) |
| 2014-04-11 | Doctoral School Seminar (Inst. Mathematik, Heinrichstr. 36., Seminarraum 11.32, 13:15—15:45, KFU) |
| Martin Piffl (TU, advisor E. Stadlober): Efficient Treatment of High Dimensional Computer Experiments [show abstract] | |
| Tang Quoc Bao (KFU, advisor K. Fellner): A reaction diffusion system modelling asymmetric stem cells division: existence and quasi-steady-state approximation [show abstract] | |
| Maria Rita Iaco (TU, advisor R. Tichy): Optimal Bounds for Integrals with Respect to Copulas and Applications [show abstract] | |
| Rohmatul Fajriyah (TU, advisor I. Berkes): Background correction of the Illumina BeadArrays [show abstract] | |
| 2014-05-23 | Doctoral School Seminar (Inst. Mathematik, Heinrichstr. 36, Seminarraum 11.32, 13:00—15:30, KFU) |
| Thomas Mendlik (TU, advisor E. Stadlober): Quantification of climate change using a multilevel regression model [show abstract] | |
| Eva Siegmann (KFU, advisor G. Haase): DEM-CFD simulations of polyhedral shaped particles [show abstract] | |
| Maria Rita Iaco (TU, advisor R. Tichy): Ergodic properties of β-adic Halton sequences [show abstract] | |
| Stefan Waldenberger (TU, advisor W. Müller): Affine LIBOR models driven by real-valued affine processes [show abstract] | |
| 2014-06-27 | Doctoral School Seminar (Seminarraum 2 des Instituts für Geometrie, Kopernikusgasse 24, 10:30—13:00, TU) |
| Behzad Azmi (KFU, advisor K. Kunisch): A receding horizon framework for the stabilization of controlled systems [show abstract] | |
| Renier Mendoza (KFU, advisor S. Keeling): A Multi-Phase Segmentation Approach to Electrical Impedance Tomography [show abstract] | |
| Christoph Koch (TU, advisor M. Kang): The phase transition of the largest component in random graphs and hypergraphs [show abstract] | |
| Bumrungsak Phuenaree (KFU, advisor F. Kappel): Nonlinear Maximum Likelihood Problems with Non-normal Data | |
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Abstract: We study the problem of estimating parameters in nonlinear models with non-normal data. In many situations, the noise assumption of normality is violated; therefore, the maximum likelihood estimation is used for solving the problem in this case. We consider only constant variance data in the parameter estimation formulation and illustrate this method throughout with the Verhulst-Pearl logistic growth model.[hide abstract] |