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