Statistics for High-Dimensional Data, Peter B?hlmann; Sara van de Geer

Автор: Richard A. Johnson, Gouri K. Bhattacharyya
Название: Statistics: Principles and Methods, 7th Edition
ISBN: 0470904119 ISBN-13(EAN): 9780470904114
Издательство: Wiley
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Цена: 35369.00 р.
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Описание: Statistics: Principles and Methods, 7th Edition provides a comprehensive, accurate introduction to statistics for business professionals who need to learn how to apply key concepts. The chapters include real-world data, designed to make the material more relevant. The numerous examples clearly demonstrate the important points of the methods.

Автор: B?hlmann
Название: Statistics for High Dimensional Data
ISBN: 3642201911 ISBN-13(EAN): 9783642201912
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This valuable compendium of statistical methods features a unique combination of methodology, theory, algorithms and applications. It covers recently developed approaches to handling large and complex data sets, including the Lasso and boosting methods.

Название: High-dimensional data analysis
ISBN: 981432485X ISBN-13(EAN): 9789814324854
Издательство: World Scientific Publishing
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Цена: 15048.00 р.
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Описание: Over the years, significant developments have been taking place in high-dimensional data analysis, driven primarily by a wide range of applications in many fields such as genomics and signal processing. This book intends to examine the issues arising from high-dimensional data analysis to explore key ideas for statistical inference and prediction.

Автор: Pelham
Название: Intermediate Statistics
ISBN: 1412994985 ISBN-13(EAN): 9781412994989
Издательство: Sage Publications
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Цена: 18058.00 р.
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Описание: A student-friendly text which enables students to appreciate the logic of descriptive and inferential statistics, and understand which techniques are best suited to which kinds of data or research questions

Автор: Blower, Gordon
Название: Random matrices: high dimensional phenomena
ISBN: 0521133122 ISBN-13(EAN): 9780521133128
Издательство: Cambridge Academ
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Цена: 10138.00 р.
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Описание: An introduction to the behaviour of random matrices. Suitable for postgraduate students and non-experts.

Автор: Eric Gautier and Pierre Alquier
Название: Inverse problems and high-dimensional estimation
ISBN: 3642199887 ISBN-13(EAN): 9783642199882
Издательство: Springer
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Цена: 15372.00 р.
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Описание: The product of a high-flying summer school in Paris in 2009, this volume synthesises the state of the art on ill-posed statistical inverse problems and high-dimensional estimation and explores the ways these techniques can be applied to economics.

Автор: Pourahmadi Mohsen
Название: High-dimensional Covariance Estimation
ISBN: 1118034295 ISBN-13(EAN): 9781118034293
Издательство: Wiley
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Цена: 12664.00 р.
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Описание: Methods for estimating sparse and large covariance matrices Covariance and correlation matrices play fundamental roles in every aspect of the analysis of multivariate data collected from a variety of fields including business and economics, health care, engineering, and environmental and physical sciences.

Автор: Giraud
Название: Introduction to High-Dimensional Statistics
ISBN: 1482237946 ISBN-13(EAN): 9781482237948
Издательство: Taylor&Francis
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Цена: 9645.00 р.
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Описание: Ever-greater computing technologies have given rise to an exponentially growing volume of data. Today massive data sets (with potentially thousands of variables) play an important role in almost every branch of modern human activity, including networks, finance, and genetics. However, analyzing such data has presented a challenge for statisticians and data analysts and has required the development of new statistical methods capable of separating the signal from the noise. Introduction to High-Dimensional Statistics is a concise guide to state-of-the-art models, techniques, and approaches for handling high-dimensional data. The book is intended to expose the reader to the key concepts and ideas in the most simple settings possible while avoiding unnecessary technicalities. Offering a succinct presentation of the mathematical foundations of high-dimensional statistics, this highly accessible text: Describes the challenges related to the analysis of high-dimensional data Covers cutting-edge statistical methods including model selection, sparsity and the lasso, aggregation, and learning theory Provides detailed exercises at the end of every chapter with collaborative solutions on a wikisite Illustrates concepts with simple but clear practical examples Introduction to High-Dimensional Statistics is suitable for graduate students and researchers interested in discovering modern statistics for massive data. It can be used as a graduate text or for self-study.

Автор: Wheelan Charles
Название: Naked Statistics: Stripping the Dread from the Data
ISBN: 039334777X ISBN-13(EAN): 9780393347777
Издательство: Wiley
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Цена: 2216.00 р.
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Описание: A New York Times bestseller "Brilliant, funny...the best math teacher you never had." -San Francisco Chronicle

Автор: Graham, Alan
Название: Teach yourself statistics
ISBN: 0340966165 ISBN-13(EAN): 9780340966167
Издательство: Hodder Arnold
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Цена: 1582.00 р.
Наличие на складе: Нет в наличии.

Описание: Nearly all aspects of our lives can be subject to statistical analysis. Teach Yourself Statistics will show you how to interpret, analyse and present figures.

Автор: Watkins
Название: Student Solutions Manual Statistics 2e
ISBN: 047053060X ISBN-13(EAN): 9780470530603
Издательство: Wiley
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Цена: 7120.00 р.
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Описание: This book teaches statistics in a modern, data-analytic approach that uses graphing calculators and statistical software. It allows more emphasis to be put on statistical concepts and data analysis than on following recipes for calculations.

Автор: Koch
Название: Analysis of Multivariate and High-Dimensional Data
ISBN: 0521887933 ISBN-13(EAN): 9780521887939
Издательство: Cambridge Academ
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Цена: 10613.00 р.
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Описание: `Big data` poses challenges that require both classical multivariate methods and modern machine-learning techniques. This coherent treatment integrates theory with data analysis, visualisation and interpretation of the analysis. Problems, data sets and MATLAB (R) code complete the package. It is suitable for master`s/graduate students in statistics and working scientists in data-rich disciplines.