Textbook
Eichler, A., Vogel, M. (2018)
Die Leitidee „Daten und Zufall“ stellt einen der fünf Inhaltsbereiche dar, die für den Mathematikunterricht in der Sekundarstufe II maßgeblich und aufgrund der Bildungsstandards …
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Hesse, C. H. (2018)
Das Buch bietet eine Einführung in die Wahrscheinlichkeitstheorie für Studierende der Mathematik und anderer Disziplinen. Neben einer intuitiven Verankerung der Theorie wird …
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Carmona, R., Delarue, F. (2018)
This two-volume set offers an expansive overview of the probabilistic approach to game models and their applications. Considered the first comprehensive treatment of the theory …
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Louis, P. (Ed), Nardi, F. R. (Ed) (2018)
This book explores Probabilistic Cellular Automata (PCA) from the perspectives of statistical mechanics, probability theory, computational biology and computer science. PCA are …
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Ferrante, M., Bardina, X. (2017)
This textbook will present, in a rigorous way, the basic theory of the discrete-time and the continuous-time Markov chains, along with many examples and solved problems. For both …
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Borodin, A. (2017)
This book provides a rigorous yet accessible introduction to the theory of stochastic processes. A significant part of the book is devoted to the classic theory of stochastic …
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Levajkovic, T., Mena, H. (2017)
This book provides a comprehensive and unified introduction to stochastic differential equations and related optimal control problems. The material is new and the presentation is …
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Baldi, P. (2017)
This book provides a comprehensive introduction to the theory of stochastic calculus and some of its applications. It is the only textbook on the subject to include more than two …
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Han, X., Kloeden, P. E. (2017)
This book is intended to make recent results on the derivation of higher order numerical schemes for random ordinary differential equations (RODEs) available to a broader …
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Molchanov, I. (2017)
This monograph, now in a thoroughly revised second edition, offers the latest research on random sets. It has been extended to include substantial developments achieved since …
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Nagy, I., Suzdaleva, E. (2017)
This book provides a general theoretical background for constructing the recursive Bayesian estimation algorithms for mixture models. It collects the recursive algorithms for …
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Book
Chatterjee, S. (2017)
This book addresses the emerging body of literature on the study of rare events in random graphs and networks. For example, what does a random graph look like if by chance it has …
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Barot, M., Hromkovič, J. (2017)
Die grundlegenden Konzepte der Wahrscheinlichkeitstheorie werden in diesem Buch ausführlich und verständlich diskutiert. Mit vielen exemplarisch durchgerechneten Aufgaben, einer …
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Pipiras, V., Taqqu, M. S. (2017)
This work provides a self-contained presentation on the structure of a large class of these stable processes, known as self-similar mixed moving averages. It is aimed at graduate …
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Chassagneux, J., Chotai, H., Muûls, M. (2017)
In Mathematical Finance, the authors consider a mathematical model for the pricing of emissions permits. The model has particular applicability to the European Union Emissions …
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Heydenreich, M., van der Hofstad, R. (2017)
This text presents an engaging exposition of the active field of high-dimensional percolation that will likely provide an impetus for future work. With over 90 exercises designed …
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Baudoin, F. (Ed), Peterson, J. (Ed) (2017)
The articles in this collection are a sampling of some of the research presented during the conference “Stochastic Analysis and Related Topics”, held in May of 2015 at Purdue …
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Kühn, F. (2017)
Presenting some recent results on the construction and the moments of Lévy-type processes, the focus of this volume is on a new existence theorem, which is proved using a …
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Handl, A., Kuhlenkasper, T. (2017)
Dieses Buch liefert eine Einführung in die Analyse multivariater Daten, indem es eine Vielzahl klassischer und neuerer quantitativer Verfahren behandelt. Das Buch wendet sich …
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Silvestrov, D., Silvestrov, S. (2017)
The book presents new methods of asymptotic analysis for nonlinearly perturbed semi-Markov processes with a finite phase space. These methods are based on special time-space …
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