 
                The general framework is used to provide an understanding of the nature of stochastic volatility. The book is intended for ...
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                This volume brings together a collection of chapters by some of the most distinguished researchers and practitioners in the ...
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                This book is introduction to the theory of continuous-time stochastic processes. A balance of theory and applications, the ...
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                This introductory textbook is designed for a one-semester course on queueing theory that does not require a course in stochastic ...
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                This book presents the key aspects of statistics in Wasserstein spaces, i.e. statistics in the space of probability measures ...
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                Services requiring parts has become a $1.5 trillion business annually worldwide, creating a tremendous incentive to manage ...
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                This book presents the tools and concepts of multivariate data analysis in a way that is understandable for non-mathematicians ...
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                This text is designed for a one-semester course on Probability and Statistics. The exposition unfolds systematically from ...
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                The book provides a comprehensive coverage of the main statistical analysis topics important for practical applications such ...
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                The main purpose of the book is to give a rigorous, yet mostly nontechnical, introduction to the most important and useful ...
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                Applied Stochastic Processes uses a distinctly applied framework to present the most important topics in the field of stochastic ...
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                Considering the stupendous gain in importance, in the banking and insurance industries since the early 1990’s, of mathematical ...
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                This introductory chapter discusses such notions as determinism, chaos and randomness, p- dictibility and unpredictibility, ...
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                This Bayesian modeling book provides an operational methodology for conducting Bayesian inference, rather than focusing on ...
WeiterlesenThis book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability ...
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                With its many easy-to-follow mathematical examples, this book takes the reader on an almost chronological trip through the ...
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                This volume contains the course “Combinatorial stochastic processes” of Professor Pitman. We cordially thank the author ...
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                This volume contains the course “Combinatorial stochastic processes” of Professor Pitman. We cordially thank the author ...
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                This book constitutes the refereed proceedings of the 18th International Conference on Computational Methods in Systems Biology, ...
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                This book constitutes the proceedings of the Fifth European Performance Engineering Workshop, EPEW 2008, held in Palma de ...
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