Maximum Entropy, Information Without Probability and Complex Fractals, Guy Jumarie

Автор: Guy Jumarie
Название: Maximum Entropy, Information Without Probability and Complex Fractals
ISBN: 0792363302 ISBN-13(EAN): 9780792363309
Издательство: Springer
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Описание: Presents material on three topics, namely the amount of information involved in non-random functions, the amount of information involved in non-probabilistic square matrices (which are not quantum density matrices), and a model of complex-valued fractional Brownian motion of order n defined via random walks in the complex plane.

Автор: Feder
Название: Fractals
ISBN: 0306428512 ISBN-13(EAN): 9780306428517
Издательство: Springer
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Описание: This lovely little book will take off and fly on its own power, but the author has asked me to write a few words, and one should not say no to a friend.

Автор: Robert M. Gray
Название: Entropy and Information Theory
ISBN: 1489981322 ISBN-13(EAN): 9781489981325
Издательство: Springer
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Описание: This fully updated new edition of the classic work on information theory presents a detailed analysis of Shannon-source and channel-coding theorems, before moving on to address sources, channels, codes and the properties of information and distortion measures.

Автор: Tiziano Squartini; Diego Garlaschelli
Название: Maximum-Entropy Networks
ISBN: 3319694367 ISBN-13(EAN): 9783319694368
Издательство: Springer
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Описание: A final chapter offers various overarching remarks and take-home messages.By requiring no prior knowledge of network theory, the book targets a broad audience ranging from PhD students approaching these topics for the first time to senior researchers interested in the application of advanced network techniques to their field.

Автор: John Skilling
Название: Maximum Entropy and Bayesian Methods
ISBN: 0792302249 ISBN-13(EAN): 9780792302247
Издательство: Springer
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Автор: Glenn R. Heidbreder
Название: Maximum Entropy and Bayesian Methods Santa Barbara, California, U.S.A., 1993
ISBN: 0792328515 ISBN-13(EAN): 9780792328513
Издательство: Springer
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Цена: 34380.00 р.
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Описание: Maximum entropy and Bayesian methods have fundamental, central roles in scientific inference. This volume contains papers presented at the Thirteenth International Workshop on Maximum Entropy and Bayesian Methods. It includes a section, and contributions detailing application in the physical sciences, engineering, law, and economics.

Автор: G. Erickson; Joshua T. Rychert; C.R. Smith
Название: Maximum Entropy and Bayesian Methods
ISBN: 0792350472 ISBN-13(EAN): 9780792350477
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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.

Автор: Wolfgang von der Linden; Volker Dose; Rainer Fisch
Название: Maximum Entropy and Bayesian Methods Garching, Germany 1998
ISBN: 0792357663 ISBN-13(EAN): 9780792357667
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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: Nailong Wu
Название: The Maximum Entropy Method
ISBN: 3642644848 ISBN-13(EAN): 9783642644849
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Описание: Forty years ago, in 1957, the Principle of Maximum Entropy was first intro- duced by Jaynes into the field of statistical mechanics. As well as continuing my research in MEM after graduation, I taught a course of the same name at the Graduate School, Chinese Academy of Sciences, Beijingfrom 1987to 1990.

Автор: C.R. Smith; W.T. Grandy Jr.
Название: Maximum-Entropy and Bayesian Methods in Inverse Problems
ISBN: 9027720746 ISBN-13(EAN): 9789027720740
Издательство: Springer
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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: Karmeshu
Название: Entropy Measures, Maximum Entropy Principle and Emerging Applications
ISBN: 3642055311 ISBN-13(EAN): 9783642055317
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Описание: The last two decades have witnessed an enormous growth with regard to ap- plications of information theoretic framework in areas of physical, biological, engineering and even social sciences. Claude Shannon in 1948 laid the foundation of the field of information theory in the context of communication theory.