TY - JOUR A1 - Staat, Manfred A1 - Heitzer, M. T1 - Reliability Analysis of Elasto-Plastic Structures under Variable Loads JF - Inelastic analysis of structures under variable loads : theory and engineering applications / Maier, G.; Weichert, D. [ed] Y1 - 2000 SN - 0-7923-6645-X SP - 269 EP - 288 PB - Kluwer Academic Publ. CY - Dordrecht ER - TY - JOUR A1 - Stulpe, Werner A1 - Singer, Matthias T1 - Informational Incompleteness of the Observables Sx,Sy,Sz for Spin-1 Systems. Singer, Matthias; Stulpe, W. JF - Foundations of Physics. 20 (1990), H. 4 Y1 - 1990 SN - 1572-9516 SP - 471 EP - 472 ER - TY - JOUR A1 - Stulpe, Werner A1 - Singer, Matthias T1 - Phase-Space Representations of General Statistical Physical Theories. Singer, Matthias; Stulpe, Werner JF - Journal of Mathematical Physics. 33 (1992), H. 1 Y1 - 1992 SN - 1089-7658 SP - 131 EP - 142 ER - TY - JOUR A1 - Stulpe, Werner A1 - Singer, Matthias T1 - Some Remarks on the Determination of Quantum States by Measurements JF - Foundations of Physics Letters. 3 (1990), H. 2 Y1 - 1990 SN - 1572-9524 SP - 153 EP - 166 ER - TY - JOUR A1 - Stulpe, Werner T1 - On the Representation of Quantum Mechanics on a Classical Sample Space JF - International Journal of Theoretical Physics. 37 (1998), H. 1 Y1 - 1998 SN - 1572-9575 SP - 349 EP - 356 ER - TY - JOUR A1 - Stulpe, Werner A1 - Swat, Maciej T1 - Quantum States as Probability Measures JF - Foundations of Physics Letters. 14 (2001), H. 3 Y1 - 2001 SN - 1572-9524 SP - 285 EP - 293 ER - TY - JOUR A1 - Stulpe, Werner T1 - Conditional Expectations and Stochastic Processes in Quantum Probability JF - Information complexity and control in quantum physics : proceedings of the 4. Internat. Seminar on Mathematical Theory of Dynamical Systems and Microphysics, Udine, Sept. 4 - 13, 1985 / ed. by A. Blaquiere ... Y1 - 1987 SN - 3-211-81992-4 N1 - Courses and lectures / International Centre for Mechanical Sciences ; 294, International Seminar on Mathematical Theory of Dynamical Systems and Microphysics <4,1985, Udine> SP - 223 EP - 234 PB - Springer CY - Wien [u.a.] ER - TY - JOUR A1 - Bogoyavlenskiy, A. P. A1 - Berezin, V. E. A1 - Ogneva, A. V. A1 - Tolmacheva, V. P. A1 - Digel, Ilya A1 - Khudyakova, S. S. T1 - Immunostimulating activity of a saponin-containing extract of Saponaria officinalis JF - Voprosy virusologii Y1 - 1999 SN - 0507-4088 VL - 44 IS - 5 SP - 229 EP - 232 ER - TY - JOUR A1 - Mulhern, Colm A1 - Bialonski, Stephan A1 - Kantz, Holger T1 - Extreme events due to localization of energy JF - Physical Review E Y1 - 2015 U6 - https://doi.org/10.1103/PhysRevE.91.012918 SN - 2470-0053 VL - 91 IS - 1 SP - 012918 ER - TY - JOUR A1 - Iken, Heiko A1 - Ahlborn, Kristina A1 - Gerlach, Frank A1 - Vonau, Winfried A1 - Zander, Wilhelm A1 - Schubert, Jürgen P. A1 - Schöning, Michael Josef T1 - Development of redox glasses and subsequent processing by means of pulsed laser deposition for realizing silicon-based thin-film sensors JF - Electrochimica acta Y1 - 2013 SN - 1873-3859 (E-Journal); 0013-4686 (Print) SP - Available online 30.8.2013 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Grajewski, Matthias A1 - Kleefeld, Andreas T1 - Detecting and approximating decision boundaries in low-dimensional spaces JF - Numerical Algorithms N2 - A method for detecting and approximating fault lines or surfaces, respectively, or decision curves in two and three dimensions with guaranteed accuracy is presented. Reformulated as a classification problem, our method starts from a set of scattered points along with the corresponding classification algorithm to construct a representation of a decision curve by points with prescribed maximal distance to the true decision curve. Hereby, our algorithm ensures that the representing point set covers the decision curve in its entire extent and features local refinement based on the geometric properties of the decision curve. We demonstrate applications of our method to problems related to the detection of faults, to multi-criteria decision aid and, in combination with Kirsch’s factorization method, to solving an inverse acoustic scattering problem. In all applications we considered in this work, our method requires significantly less pointwise classifications than previously employed algorithms. KW - MCDA KW - Inverse scattering problem KW - Fault approximation KW - Fault detection Y1 - 2023 SN - 1572-9265 N1 - Corresponding author: Matthias Grajewski VL - 93 IS - 4 PB - Springer Science+Business Media CY - Dordrecht ER - TY - JOUR A1 - Baringhaus, Ludwig A1 - Gaigall, Daniel T1 - Hotelling’s T² tests in paired and independent survey samples: An efficiency comparison JF - Journal of Multivariate Analysis N2 - Hotelling’s T² tests in paired and independent survey samples are compared using the traditional asymptotic efficiency concepts of Hodges–Lehmann, Bahadur and Pitman, as well as through criteria based on the volumes of corresponding confidence regions. Conditions characterizing the superiority of a procedure are given in terms of population canonical correlation type coefficients. Statistical tests for checking these conditions are developed. Test statistics based on the eigenvalues of a symmetrized sample cross-covariance matrix are suggested, as well as test statistics based on sample canonical correlation type coefficients. Y1 - 2017 U6 - https://doi.org/10.1016/j.jmva.2016.11.004 SN - 0047-259X VL - 2017 IS - 154 SP - 177 EP - 198 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Hafner, David A1 - Demetz, Oliver A1 - Weickert, Joachim A1 - Reißel, Martin T1 - Mathematical Foundations and Generalisations of the Census Transform for Robust Optic Flow Computation JF - Journal of Mathematical Imaging and Vision Y1 - 2014 U6 - https://doi.org/10.1007/s10851-014-0529-9 SN - 1573-7683 (Online) N1 - Springer Online First (ohne Seitenang. und Heftzuteilung) PB - Springer CY - New York ER - TY - INPR A1 - Bornheim, Tobias A1 - Grieger, Niklas A1 - Blaneck, Patrick Gustav A1 - Bialonski, Stephan T1 - Preprint: Speaker attribution in German parliamentary debates with QLoRA-adapted large language models T2 - Journal for Language Technology and Computational Linguistics N2 - The growing body of political texts opens up new opportunities for rich insights into political dynamics and ideologies but also increases the workload for manual analysis. Automated speaker attribution, which detects who said what to whom in a speech event and is closely related to semantic role labeling, is an important processing step for computational text analysis. We study the potential of the large language model family Llama 2 to automate speaker attribution in German parliamentary debates from 2017-2021. We fine-tune Llama 2 with QLoRA, an efficient training strategy, and observe our approach to achieve competitive performance in the GermEval 2023 Shared Task On Speaker Attribution in German News Articles and Parliamentary Debates. Our results shed light on the capabilities of large language models in automating speaker attribution, revealing a promising avenue for computational analysis of political discourse and the development of semantic role labeling systems. Y1 - 2023 U6 - https://doi.org/10.48550/arXiv.2309.09902 N1 - Veröffentlichte Version verfügbar unter: https://doi.org/10.21248/jlcl.37.2024.244 ER - TY - CHAP A1 - Richter, Charlotte A1 - Braunstein, Bjoern A1 - Stäudle, Benjamin A1 - Attias, Julia A1 - Suess, Alexander A1 - Weber, T. A1 - Rittweger, Joern A1 - Green, David A. A1 - Albracht, Kirsten T1 - In vivo fascicle length of the gastrocnemius muscle during walking in simulated martian gravity using two different body weight support devices T2 - 23rd Annual Congress of the European College of Sport Science, Dublin, Irland Y1 - 2018 ER - TY - CHAP A1 - Schneider, Oliver A1 - Al Hakim, Taher A1 - Kayser, Peter A1 - Digel, Ilya ED - Erni, Daniel ED - Fischerauer, Alice ED - Himmel, Jörg ED - Seeger, Thomas ED - Thelen, Klaus T1 - Development and trials of a test chamber for ultrasound-assisted sampling of living cells from solid surfaces T2 - 2nd YRA MedTech Symposium 2017 : June 8th - 9th / 2017 / Hochschule Ruhr-West Y1 - 2017 SN - 978-3-9814801-9-1 U6 - https://doi.org/10.17185/duepublico/43984 N1 - A young researchers track of the 7th IEEE Workshop & SENSORICA 2017 SP - 96 EP - 97 PB - Universität Duisburg-Essen CY - Duisburg ER - TY - CHAP A1 - Birgel, Stefan A1 - Leschinger, Tim A1 - Wegmann, Kilian A1 - Staat, Manfred ED - Erni, Daniel ED - Fischerauer, Alice ED - Himmel, Jörg ED - Seeger, Thomas ED - Thelen, Klaus T1 - Calculation of muscle forces and joint reaction loads in shoulder area via an OpenSim based computer calculation T2 - 2nd YRA MedTech Symposium 2017 : June 8th - 9th / 2017 / Hochschule Ruhr-West Y1 - 2017 SN - 978-3-9814801-9-1 U6 - https://doi.org/10.17185/duepublico/43984 N1 - A young researchers track of the 7th IEEE Workshop & SENSORICA 2017 N1 - In der Druckausgabe des Abstractbandes ist dieser Beitrag lose als Erratum beigefügt. SP - 116 EP - 117 PB - Universität Duisburg-Essen CY - Duisburg ER - TY - BOOK A1 - Staat, Manfred A1 - Erni, Daniel T1 - Symposium Proceedings; 3rd YRA MedTech Symposium 2019: May 24 / 2019 / FH Aachen Y1 - 2019 SN - 978-3-940402-22-6 U6 - https://doi.org/10.17185/duepublico/48750 PB - Universität Duisburg-Essen CY - Duisburg ER - TY - CHAP A1 - Gaigall, Daniel T1 - On Consistent Hypothesis Testing In General Hilbert Spaces T2 - Proceedings of the 4th International Conference on Statistics: Theory and Applications (ICSTA’22) N2 - Inference on the basis of high-dimensional and functional data are two topics which are discussed frequently in the current statistical literature. A possibility to include both topics in a single approach is working on a very general space for the underlying observations, such as a separable Hilbert space. We propose a general method for consistently hypothesis testing on the basis of random variables with values in separable Hilbert spaces. We avoid concerns with the curse of dimensionality due to a projection idea. We apply well-known test statistics from nonparametric inference to the projected data and integrate over all projections from a specific set and with respect to suitable probability measures. In contrast to classical methods, which are applicable for real-valued random variables or random vectors of dimensions lower than the sample size, the tests can be applied to random vectors of dimensions larger than the sample size or even to functional and high-dimensional data. In general, resampling procedures such as bootstrap or permutation are suitable to determine critical values. The idea can be extended to the case of incomplete observations. Moreover, we develop an efficient algorithm for implementing the method. Examples are given for testing goodness-of-fit in a one-sample situation in [1] or for testing marginal homogeneity on the basis of a paired sample in [2]. Here, the test statistics in use can be seen as generalizations of the well-known Cramérvon-Mises test statistics in the one-sample and two-samples case. The treatment of other testing problems is possible as well. By using the theory of U-statistics, for instance, asymptotic null distributions of the test statistics are obtained as the sample size tends to infinity. Standard continuity assumptions ensure the asymptotic exactness of the tests under the null hypothesis and that the tests detect any alternative in the limit. Simulation studies demonstrate size and power of the tests in the finite sample case, confirm the theoretical findings, and are used for the comparison with concurring procedures. A possible application of the general approach is inference for stock market returns, also in high data frequencies. In the field of empirical finance, statistical inference of stock market prices usually takes place on the basis of related log-returns as data. In the classical models for stock prices, i.e., the exponential Lévy model, Black-Scholes model, and Merton model, properties such as independence and stationarity of the increments ensure an independent and identically structure of the data. Specific trends during certain periods of the stock price processes can cause complications in this regard. In fact, our approach can compensate those effects by the treatment of the log-returns as random vectors or even as functional data. Y1 - 2022 U6 - https://doi.org/10.11159/icsta22.157 N1 - 4th International Conference on Statistics: Theory and Applications (ICSTA’22), Prague, Czech Republic – July 28- 30 SP - Paper No. 157 PB - Avestia Publishing CY - Orléans, Kanada ER - TY - BOOK A1 - Staat, Manfred A1 - Heitzer, Michael T1 - Numerical methods for limit and shakedown analysis. Deterministic and probabilistic problems. Y1 - 2003 SN - 3-00-010001-6 N1 - NIC Series Vol. 15 / Ed. by Staat, M; Heitzer, M. PB - John von Neumann Institute for Computing (NIC) CY - Jülich ER -