Handbook of Differential Entropy, Michalowicz, Joseph Victor , Nichols, Jonathan M.
Автор: Imre Csisz?r; Gyula O.H. Katona; Gabor Tardos Название: Entropy, Search, Complexity ISBN: 3642068995 ISBN-13(EAN): 9783642068997 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book collects survey papers in the fields of entropy, search and complexity, summarizing the latest developments in their respective areas. More than half of the papers belong to search theory which lies on the borderline of mathematics and computer science, information theory and combinatorics, respectively.
Автор: G. Erickson; Joshua T. Rychert; C.R. Smith Название: Maximum Entropy and Bayesian Methods ISBN: 0792350472 ISBN-13(EAN): 9780792350477 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Contains a range of applications of Bayesian statistics and maximum entropy methods to problems of concern in such fields as image processing, coding theory, machine learning, economics, data analysis and other problems. This text is intended for researchers in applied statistics, information theory, coding theory, image and signal processing.
A brand new, fully updated edition of a popular classic on matrix differential calculus with applications in statistics and econometrics
This exhaustive, self-contained book on matrix theory and matrix differential calculus provides a treatment of matrix calculus based on differentials and shows how easy it is to use this theory once you have mastered the technique. Jan Magnus, who, along with the late Heinz Neudecker, pioneered the theory, develops it further in this new edition and provides many examples along the way to support it.
Matrix calculus has become an essential tool for quantitative methods in a large number of applications, ranging from social and behavioral sciences to econometrics. It is still relevant and used today in a wide range of subjects such as the biosciences and psychology. Matrix Differential Calculus with Applications in Statistics and Econometrics, Third Edition contains all of the essentials of multivariable calculus with an emphasis on the use of differentials. It starts by presenting a concise, yet thorough overview of matrix algebra, then goes on to develop the theory of differentials. The rest of the text combines the theory and application of matrix differential calculus, providing the practitioner and researcher with both a quick review and a detailed reference.
Fulfills the need for an updated and unified treatment of matrix differential calculus
Contains many new examples and exercises based on questions asked of the author over the years
Covers new developments in field and features new applications
Written by a leading expert and pioneer of the theory
Part of the Wiley Series in Probability and Statistics
Matrix Differential Calculus With Applications in Statistics and Econometrics Third Edition is an ideal text for graduate students and academics studying the subject, as well as for postgraduates and specialists working in biosciences and psychology.
Автор: John Skilling Название: Maximum Entropy and Bayesian Methods ISBN: 0792302249 ISBN-13(EAN): 9780792302247 Издательство: Springer Рейтинг: Цена: 41647.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Shu-Cherng Fang; J.R. Rajasekera; H.S.J. Tsao Название: Entropy Optimization and Mathematical Programming ISBN: 0792399390 ISBN-13(EAN): 9780792399391 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Entropy optimization is a useful combination of classical engineering theory (entropy) with mathematical optimization. A systematic presentation with proper mathematical treatment of this material is needed in all application areas. The purpose of this book is to meet this need.
Автор: C.R. Smith; W.T. Grandy Jr. Название: Maximum-Entropy and Bayesian Methods in Inverse Problems ISBN: 9048184185 ISBN-13(EAN): 9789048184187 Издательство: Springer Рейтинг: Цена: 27944.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains the text of the twenty-five papers presented at two workshops entitled Maximum-Entropy and Bayesian Methods in Applied Statistics, which were held at the University of Wyoming from June 8 to 10, 1981, and from August 9 to 11, 1982.
Автор: Wolfgang von der Linden; Volker Dose; Rainer Fisch Название: Maximum Entropy and Bayesian Methods Garching, Germany 1998 ISBN: 0792357663 ISBN-13(EAN): 9780792357667 Издательство: Springer Рейтинг: Цена: 27245.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Taken from the 1998 MaxEnt conference, this work contains a range of applications of Bayesian probability theory and maximum entropy methods to problems of concern in such fields as physics, image processing, coding theory, machine learning, economics, data analysis and various other problems.
Автор: C.R. Smith; G. Erickson; Paul O. Neudorfer Название: Maximum Entropy and Bayesian Methods ISBN: 9048142202 ISBN-13(EAN): 9789048142200 Издательство: Springer Рейтинг: Цена: 37874.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Proceedings of the Eleventh International Workshop on Maximum Entropy and Bayesian Methods of Statistical Analysis, Seattle, 1991
Автор: Wolfgang von der Linden; Volker Dose; Rainer Fisch Название: Maximum Entropy and Bayesian Methods Garching, Germany 1998 ISBN: 9401059829 ISBN-13(EAN): 9789401059824 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Proceedings of the 18th International Workshop on Maximum Entropy and Bayesian Methods of Statistical Analysis
Автор: Reuven Y. Rubinstein; Dirk P. Kroese Название: The Cross-Entropy Method ISBN: 1441919406 ISBN-13(EAN): 9781441919403 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book is a comprehensive and accessible introduction to the cross-entropy (CE) method. The CE method started life around 1997 when the first author proposed an adaptive algorithm for rare-event simulation using a cross-entropy minimization technique. It was soon realized that the underlying ideas had a much wider range of application than just in rare-event simulation; they could be readily adapted to tackle quite general combinatorial and multi-extremal optimization problems, including many problems associated with the field of learning algorithms and neural computation. The book is based on an advanced undergraduate course on the CE method, given at the Israel Institute of Technology (Technion) for the last three years. It is aimed at a broad audience of engineers, computer scientists, mathematicians, statisticians and in general anyone, theorist or practitioner, who is interested in smart simulation, fast optimization, learning algorithms, image processing, etc. Our aim was to write a book on the CE method which was accessible to advanced undergraduate students and engineers who simply want to apply the CE method in their work, while at the same time accentu- ating the unifying and novel mathematical ideas behind the CE method, so as to stimulate further research at a postgraduate level.
Описание: These proceedings from the 37th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2017), held in Sao Carlos, Brazil, aim to expand the available research on Bayesian methods and promote their application in the scientific community.
Автор: P.F. Foug?re Название: Maximum Entropy and Bayesian Methods ISBN: 9401067929 ISBN-13(EAN): 9789401067928 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Proceedings of the 9th International Workshop, Dartmouth, Massachusetts, USA, 1989
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