Journal
Ledoux, M. (Ed), Martinelli, F. (Ed)
History Probability Theory and Related Fields was founded in 1962 under the title 'Zeitschrift für Wahrscheinlichkeitstheorie und verwandte Gebiete'. The first Managing Editor was …
Journal
Peng, S. (Ed)
Probability, Uncertainty and Quantitative Risk is a high-quality, peer-reviewed, open-access journal reporting significant developments in modern probability theory, its relation …
Journal
Rozovsky, B. (Ed), Debussche, A. (Ed)
Stochastics and Partial Differential Equations: Analysis and Computations publishes the highest quality articles presenting significantly new and important developments in the …
Journal
Kutoyants, Y. A. (Ed), Bosq, D. (Ed), Hallin, M. (Ed)
Statistical Inference for Stochastic Processes is devoted to the following topics: Parametric, semiparametric and nonparametric inference in discrete and continuous time …
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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Textbook
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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Book
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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Hardcover
Series
Newman, C. M. (Ed), Liggett, T. M. (Ed), Pitt, L. (Ed), Dereich, S. (Ed), Khoshnevisan, D. (Ed), Kyprianou, A. E. (Ed), Resnick, S. I. (Ed)
Edited by Dereich, Steffen, Universität Münster, Germany Khoshnevisan, Davar, The University of Utah, Salt Lake City, USA Kyprianou, Andreas, University of Bath, UK Resnick, …
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Series
Zelinka, I. (Ed), Adamatzky, A. (Ed), Chen, G. (Ed)
The Emergence, Complexity and Computation (ECC) series publishes new developments, advancements and selected topics in the fields of complexity, computation and emergence. The …
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Book
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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eBook
Series
Asmussen, S. (Ed), Hairer, M. (Ed), Jagers, P. (Ed), Karatzas, I. (Ed), Kelly, F. P. (Ed), Øksendal, B. (Ed), Papanicolaou, G. (Ed), Pardoux, E. (Ed), Perkins, E. (Ed), Soner, H. M. (Ed)
The Probability Theory and Stochastic Modelling series is a merger and continuation of Springer’s two well established series Stochastic Modelling and Applied Probability and …
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Textbook
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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eBook
Book
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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Hardcover
eBook
Book
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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Softcover
eBook
Textbook
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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Softcover
eBook
Book
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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eBook
Book
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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Hardcover
eBook
Book
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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Softcover
eBook
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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Softcover
eBook