Book
Buraczewski, D., Damek, E., Mikosch, T. (2016)
In this monograph the authors give a systematic approach to the probabilistic properties of the fixed point equation X=AX+B. A probabilistic study of the stochastic recurrence …
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Denker, M. (Ed), Waymire, E. C. (Ed) (2016)
This volume presents some of the most influential papers published by Rabi N. Bhattacharya, along with commentaries from international experts, demonstrating his knowledge, …
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van de Geer, S. (2016)
Taking the Lasso method as its starting point, this book describes the main ingredients needed to study general loss functions and sparsity-inducing regularizers. It also provides …
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König, W. (2016)
This is a comprehensive survey on the research on the parabolic Anderson model – the heat equation with random potential or the random walk in random potential – of the years 1990 …
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König, W. (Ed), Zimmer, J. (Ed), Hibi, T. (Ed)
Each "Pathways in Mathematics" book offers a roadmap to a currently well developing mathematical research field and is a first-hand information and inspiration for further study, …
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Schay, G. (2016)
Now in its second edition, this textbook serves as an introduction to probability and statistics for non-mathematics majors who do not need the exhaustive detail and mathematical …
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Cekanavicius, V. (2016)
This book presents a wide range of well-known and less common methods used for estimating the accuracy of probabilistic approximations, including the Esseen type inversion …
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Rüschendorf, L. (2016)
Dieses Lehrbuch bietet eine umfassende, moderne Einführung in die wesentlichen Themen und Anwendungen der Wahrscheinlichkeitstheorie. Es liefert eine sehr gut motivierte, …
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CHAFAI, D., Malrieu, F. (2016)
Ce recueil puise sa source dans les cours de master de mathématiques appliquées et de préparation à l’épreuve de modélisation de l’agrégation de mathématiques. Le parti pris de …
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Hoffmann, M. (2016)
Michael Hoffmann stellt auf leicht verständliche Art und Weise die Grundlagen der stochastischen Analysis dar, d.h. die Begriffe der stochastischen Integration und der …
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Bevilacqua, A. (2016)
This study provides innovative mathematical models for assessing the eruption probability and associated volcanic hazards, and applies them to the Campi Flegrei caldera in Italy. …
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Le Gall, J. (2016)
This book offers a rigorous and self-contained presentation of stochastic integration and stochastic calculus within the general framework of continuous semimartingales. The main …
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Méléard, S. (2016)
Le but du livre est de définir et développer une grande gamme d'outils probabilistes pour la modélisation en biologie des populations, afin de décrire des dynamiques temporelles …
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Bally, V., Caramellino, L., Cont, R., Utzet, F. (Ed), Vives, J. (Ed) (2016)
This volume contains lecture notes from the courses given by Vlad Bally and Rama Cont at the Barcelona Summer School on Stochastic Analysis (July 2012). The notes of the course by …
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Skorokhod, A. V., Dorogovtsev, A. A. (Ed), Kulik, A. (Ed), Pilipenko, A. (Ed), Portenko, M. I. (Ed), Shiryaev, A. N. (Ed) (2016)
Collecting together selected pioneering works of the celebrated mathematician Anatolii V. Skorokhod, this volume serves as a guide to the theory of stochastic processes from its …
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Grabchak, M. (2016)
This brief is concerned with tempered stable distributions and their associated Levy processes. It is a good text for researchers interested in learning about tempered stable …
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Biagini, F., Campanino, M. (2016)
This book provides an introduction to elementary probability and to Bayesian statistics using de Finetti's subjectivist approach. One of the features of this approach is that it …
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Book
Podolskij, M. (Ed), Stelzer, R. (Ed), Thorbjørnsen, S. (Ed), Veraart, A. E. D. (Ed) (2016)
Collecting together twenty-three self-contained articles, this volume presents the current research of a number of renowned scientists in both probability theory and statistics as …
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Émery, M. (Ed), Donati-Martin, C. (Ed), Lejay, A. (Ed), Rouault, A. (Ed), Ledoux, M. (Ed), Yor, M. (Ed), Azéma, J. (Ed), Stricker, C. (Ed)
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Harney, H. L. (2016)
Filling a longstanding need in the physical sciences, Bayesian Inference offers the first basic introduction for advanced undergraduates and graduates in the physical sciences. …
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