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Titlebook: Recent Developments in Applied Probability and Statistics; Dedicated to the Mem Luc Devroye,Bülent Karas?zen,Ralf Korn Book 2010 Springer-V

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樓主: Wilson
31#
發(fā)表于 2025-3-26 23:21:27 | 只看該作者
32#
發(fā)表于 2025-3-27 01:39:59 | 只看該作者
33#
發(fā)表于 2025-3-27 09:07:44 | 只看該作者
Computational Science and Engineering Education Programs in Germany (Panel Discussion Contribution)In recent years a remarkable variety of study programs in the field of Computational Science and Engineering emerged in Germany covering Bachelor, Master, and PhD education. A review on these developments is provided. Similarities and differences in curricula and formal organization issues are discussed.
34#
發(fā)表于 2025-3-27 11:35:56 | 只看該作者
35#
發(fā)表于 2025-3-27 14:24:17 | 只看該作者
978-3-7908-2910-5Springer-Verlag Berlin Heidelberg 2010
36#
發(fā)表于 2025-3-27 18:32:45 | 只看該作者
37#
發(fā)表于 2025-3-27 23:44:27 | 只看該作者
A Review on Regression-based Monte Carlo Methods for Pricing American Options,nerally in continuous time formulated pricing problem is approximated by a problem in discrete time, i.e., the number of exercising times of the considered option is assumed to be finite. Then the problem can be formulated as an optimal stopping problem in discrete time, where the optimal stopping t
38#
發(fā)表于 2025-3-28 03:45:13 | 只看該作者
Uncertainty in Gaussian Process Interpolation,oach for approximating complex computer models in statistics, and one of its advantages is the fact that it accompanies the predicted values with uncertainty statements. We focus on investigating the reliability of the method’s uncertainty statements in a simulation study. For this purpose we evalua
39#
發(fā)表于 2025-3-28 07:18:30 | 只看該作者
40#
發(fā)表于 2025-3-28 12:37:58 | 只看該作者
,Strong and Weak Approximation Methods for?Stochastic Differential Equations—Some Recent Developmentions (SDEs) with improved computational complexity are considered. Their convergence is analyzed by a concise colored rooted tree approach for both, It? as well as Stratonovich SDEs. Further, order conditions for the coefficients of order 1.0 and 1.5 strong SRK methods as well as for order 2.0 weak
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