Mathematical foundations of big data analytics, Shikhman, Vladimir Muller, David

Автор: Gross, Benedict H.,
Название: Fat chance :
ISBN: 1108728189 ISBN-13(EAN): 9781108728188
Издательство: Cambridge Academ
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Цена: 25350.00 T
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Описание: Designed for the intellectually curious, this book provides a solid foundation in basic probability theory in a charming style, without technical jargon. This text will immerse the reader in a mathematical view of the world, and teach them techniques to solve real-world problems both inside and outside the casino.

Автор: Gin?
Название: Mathematical Foundations of Infinite-Dimensional Statistical Models
ISBN: 1107043166 ISBN-13(EAN): 9781107043169
Издательство: Cambridge Academ
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Цена: 99270.00 T
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Описание: High-dimensional and nonparametric statistical models are ubiquitous in modern data science. This book develops a mathematically coherent and objective approach to statistical inference in such models, with a focus on function estimation problems arising from random samples (density estimation) or from Gaussian regression/signal in white noise problems.

Автор: Salsburg
Название: Errors, Blunders And Lies
ISBN: 1498795781 ISBN-13(EAN): 9781498795784
Издательство: Taylor&Francis
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Цена: 30610.00 T
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Описание: In this follow-up to the author`s bestselling classic, "The Lady Tasting Tea," David Salsburg takes a fresh and insightful look at the history of statistical development by examing errors, blunders and outright lies in many different models taken from a variety of fields including economics, biology, physics and sports.

Автор: Vladimir S. Korolyuk; A.F. Turbin
Название: Mathematical Foundations of the State Lumping of Large Systems
ISBN: 0792324137 ISBN-13(EAN): 9780792324133
Издательство: Springer
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Цена: 88500.00 T
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Описание: During the investigation of large systems described by evolution equations, we encounter many problems. Of special interest is the problem of "high dimensionality" or, more precisely, the problem of the complexity of the phase space. The notion of the "comple- xity of the. phase space" includes not only the high dimensionality of, say, a system of linear equations which appear in the mathematical model of the system (in the case when the phase space of the model is finite but very large), as this is usually understood, but also the structure of the phase space itself, which can be a finite, countable, continual, or, in general, arbitrary set equipped with the structure of a measurable space. Certainly, 6 6 this does not mean that, for example, the space (R 6, ( ), where 6 is a a-algebra of Borel sets in R 6, considered as a phase space of, say, a six-dimensional Wiener process (see Gikhman and Skorokhod 1]), has a "complex structure". But this will be true if the 6 same space (R 6, ( ) is regarded as a phase space of an evolution system describing, for example, the motion of a particle with small mass in a viscous liquid (see Chandrasek- har 1]).

Автор: Bollman, Mark (albion College, Albion, Michigan, Usa)
Название: Mathematics of keno and lotteries
ISBN: 113872372X ISBN-13(EAN): 9781138723726
Издательство: Taylor&Francis
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Цена: 59190.00 T
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Описание: Mathematics of Keno and Lotteries is an elementary treatment of the mathematics, primarily probability and simple combinatorics, involved in lotteries and keno. Keno has a long history as a high-advantage, high-payoff casino game, and state lottery games such as Powerball are mathematically similar.

Автор: Beran, Jan
Название: Mathematical Foundations of Time Series Analysis
ISBN: 3319743783 ISBN-13(EAN): 9783319743783
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book provides a concise introduction to the mathematical foundations of time series analysis, with an emphasis on mathematical clarity. The text is reduced to the essential logical core, mostly using the symbolic language of mathematics, thus enabling readers to very quickly grasp the essential reasoning behind time series analysis.

Автор: Salsburg
Название: Errors, Blunders, and Lies
ISBN: 1138726982 ISBN-13(EAN): 9781138726987
Издательство: Taylor&Francis
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Цена: 102080.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this follow-up to the author`s bestselling classic, "The Lady Tasting Tea," David Salsburg takes a fresh and insightful look at the history of statistical development by examing errors, blunders and outright lies in many different models taken from a variety of fields including economics, biology, physics and sports.

Автор: Benedict Gross, Joe Harris, Emily Riehl
Название: Fat Chance: Probability from 0 to 1
ISBN: 1108482961 ISBN-13(EAN): 9781108482967
Издательство: Cambridge Academ
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Цена: 61240.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Designed for the intellectually curious, this book provides a solid foundation in basic probability theory in a charming style, without technical jargon. This text will immerse the reader in a mathematical view of the world, and teach them techniques to solve real-world problems both inside and outside the casino.

Автор: Bollman
Название: Mathematics of Keno and Lotteries
ISBN: 1138723800 ISBN-13(EAN): 9781138723801
Издательство: Taylor&Francis
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Цена: 158230.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Mathematics of Keno and Lotteries is an elementary treatment of the mathematics, primarily probability and simple combinatorics, involved in lotteries and keno. Keno has a long history as a high-advantage, high-payoff casino game, and state lottery games such as Powerball are mathematically similar.

Автор: Rida Laraki; J?r?me Renault; Sylvain Sorin
Название: Mathematical Foundations of Game Theory
ISBN: 3030266451 ISBN-13(EAN): 9783030266455
Издательство: Springer
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Цена: 69870.00 T
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Описание: This book gives a concise presentation of the mathematical foundations of Game Theory, with an emphasis on strategic analysis linked to information and dynamics. It is largely self-contained, with all of the key tools and concepts defined in the text.Combining the basics of Game Theory, such as value existence theorems in zero-sum games and equilibrium existence theorems for non-zero-sum games, with a selection of important and more recent topics such as the equilibrium manifold and learning dynamics, the book quickly takes the reader close to the state of the art. Applications to economics, biology, and learning are included, and the exercises, which often contain noteworthy results, provide an important complement to the text.Based on lectures given in Paris over several years, this textbook will be useful for rigorous, up-to-date courses on the subject. Apart from an interest in strategic thinking and a taste for mathematical formalism, the only prerequisite for reading the book is a solid knowledge of mathematics at the undergraduate level, including basic analysis, linear algebra, and probability.

Автор: Jeffrey Humpherys, Tyler J. Jarvis
Название: Foundations of Applied Mathematics, Volume 2: Algorithms, Approximation, Optimization
ISBN: 1611976057 ISBN-13(EAN): 9781611976052
Издательство: Mare Nostrum (Eurospan)
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Цена: 81090.00 T
Наличие на складе: Невозможна поставка.
Описание: In this second book of what will be a four-volume series, the authors present, in a mathematically rigorous way, the essential foundations of both the theory and practice of algorithms, approximation, and optimization—essential topics in modern applied and computational mathematics. This material is the introductory framework upon which algorithm analysis, optimization, probability, statistics, machine learning, and control theory are built. This text gives a unified treatment of several topics that do not usually appear together: the theory and analysis of algorithms for mathematicians and data science students; probability and its applications; the theory and applications of approximation, including Fourier series, wavelets, and polynomial approximation; and the theory and practice of optimization, including dynamic optimization.When used in concert with the free supplemental lab materials, Foundations of Applied Mathematics, Volume 2: Algorithms, Approximation, Optimization teaches not only the theory but also the computational practice of modern mathematical methods. Exercises and examples build upon each other in a way that continually reinforces previous ideas, allowing students to retain learned concepts while achieving a greater depth. The mathematically rigorous lab content guides students to technical proficiency and answers the age-old question “When am I going to use this?”This textbook is geared toward advanced undergraduate and beginning graduate students in mathematics, data science, or machine learning.

Автор: Gine, Evarist Nickl, Richard (university Of Cambridge)
Название: Mathematical foundations of infinite-dimensional statistical models
ISBN: 110899413X ISBN-13(EAN): 9781108994132
Издательство: Cambridge Academ
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Цена: 48570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: High-dimensional and nonparametric statistical models are ubiquitous in modern data science. This book develops a mathematically coherent and objective approach to statistical inference in such models, with a focus on function estimation problems arising from random samples or from Gaussian regression/signal in white noise problems.