Basics of Probability and Stochastic Processes, Esra Bas
Автор: Gallager Название: Stochastic Processes ISBN: 1107039754 ISBN-13(EAN): 9781107039759 Издательство: Cambridge Academ Рейтинг: Цена: 74970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This definitive textbook provides a solid introduction to stochastic processes, covering both theory and applications. It is written by one of the world`s leading information theorists, evolving over twenty years of graduate classroom teaching, and is accompanied by over 300 exercises, with online solutions for instructors.
Автор: Shreve Название: Stochastic Calculus for Finance I ISBN: 0387401008 ISBN-13(EAN): 9780387401003 Издательство: Springer Рейтинг: Цена: 55890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Developed for the professional Master`s program in Computational Finance at Carnegie Mellon, the leading financial engineering program in the U.S. Has been tested in the classroom and revised over a period of several yearsExercises conclude every chapter;
Автор: Bradley Efron and Trevor Hastie Название: Computer Age Statistical Inference ISBN: 1107149894 ISBN-13(EAN): 9781107149892 Издательство: Cambridge Academ Рейтинг: Цена: 60190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.
Автор: Wang Feng Yu Название: Analysis for Diffusion Processes on Riemannian Manifolds ISBN: 9814452645 ISBN-13(EAN): 9789814452649 Издательство: World Scientific Publishing Рейтинг: Цена: 132000.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Stochastic analysis on Riemannian manifolds without boundary has been well established. However, the analysis for reflecting diffusion processes and sub-elliptic diffusion processes is far from complete. This book contains recent advances in this direction along with new ideas and efficient arguments, which are crucial for further developments. Many results contained here (for example, the formula of the curvature using derivatives of the semigroup) are new among existing monographs even in the case without boundary.
Автор: Bernido Christopher C & Carpio-Bernido M Victoria Название: Analysis Of Fractional Stochastic Processes: Advances And Applications - Proceedings Of The 7Th Jagna International Workshop ISBN: 9814618349 ISBN-13(EAN): 9789814618342 Издательство: World Scientific Publishing Цена: 103490.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume contains pedagogical, review and research level papers on fractional stochastic and quantum processes which have been the focus of intensive mathematical, experimental, and computational studies due to their widening spectrum of applications in natural and social sciences.
Автор: Cohen Samuel N Et Al Название: Stochastic Processes, Finance And Control: A Festschrift In Honor Of Robert J Elliott ISBN: 9814383309 ISBN-13(EAN): 9789814383301 Издательство: World Scientific Publishing Рейтинг: Цена: 200640.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Consists of a series of peer-reviewed papers in stochastic processes, analysis, filtering and control, with particular emphasis on mathematical finance, actuarial science and engineering. This book is of interest to researchers and practitioners.
Автор: Kun Il Park Название: Fundamentals of Probability and Stochastic Processes with Applications to Communications ISBN: 3319680749 ISBN-13(EAN): 9783319680743 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides engineers with focused treatment of the mathematics needed to understand probability, random variables, and stochastic processes, which are the essential mathematical disciplines used in communications engineering.
Автор: Rams?s H. Mena; Juan Carlos Pardo; V?ctor Rivero; Название: XI Symposium on Probability and Stochastic Processes ISBN: 3319139835 ISBN-13(EAN): 9783319139838 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume features a collection of contributed articles and lecture notes from the XI Symposium on Probability and Stochastic Processes, held at CIMAT Mexico in September 2013.
Автор: J. George Shanthikumar; Ushio Sumita Название: Applied Probability and Stochastic Processes ISBN: 0792384393 ISBN-13(EAN): 9780792384397 Издательство: Springer Рейтинг: Цена: 278580.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Offers a mixture of theoretical, algorithmic, and application chapters providing examples of the work that Professor Keilson has done or influenced over the course of his highly-productive and energetic career in applied probability and stochastic processes.
Автор: J. George Shanthikumar; Ushio Sumita Название: Applied Probability and Stochastic Processes ISBN: 1461373646 ISBN-13(EAN): 9781461373643 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Giorgos Michel Название: Probability & Stochastic Processes: A Friendly Introduction for Electrical & Computer Engineers ISBN: 1681174529 ISBN-13(EAN): 9781681174525 Издательство: Gazelle Book Services Рейтинг: Цена: 230210.00 T Наличие на складе: Невозможна поставка. Описание: In probability theory, a stochastic process, or often random process, is a collection of random variables representing the evolution of some system of random values over time. This is the probabilistic counterpart to a deterministic process (or deterministic system). Instead of describing a process which can only evolve in one way (as in the case, for example, of solutions of an ordinary differential equation), in a stochastic, or random process, there is some indeterminacy: even if the initial condition is known, there are several directions in which the process may evolve. Classic examples of the stochastic process are guessing the length of a queue at a stated time given the random distribution over time of a number of people or objects entering and leaving the queue and guessing the amount of water in a reservoir based on the random distribution of rainfall and water usage. Stochastic processes were first studied rigorously in the late 19th century to aid in understanding financial markets and Brownian motion. This book covers characterisation, structural properties, inference and control of stochastic processes. It is concerned with concepts and techniques, and is oriented towards a broad spectrum of mathematical, scientific and engineering interests.
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