Shen Xiaotong (49 results)

VIII, 538 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Softcover. Condition: Very Good-. No Dust Jacket. First Edition (?); 1st Impression (?). Some soiling to the front edge of the book block and to the rear pastedown and its verso. Internally clean and unmarked; binding sound.; This volume features research at the intersection of statistics, computer science, and applied mathematics, with contributions on algorithmic learning theory, model selection, high-dimensional data analysis, and applications to science and engineering.; 18.8 x25.8 x 1.9 cm; 226 pages.…

SOFTCOVER. Condition: Fine. 1st Edition. Large 4to. in illustrated stiff card covers, 47pp on thick glossy art paper, colour plates, etc . [CONDITION: A well preserved near FINE clean and tight copy (bottom corner tip of rear cover clipped, few spots of rub to cover edges and corner tips) ] . . . We always ship in STRONG PROTECTIVE CARD PARCELS.…

Condition: New.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Hardback. Condition: New. Over the last few 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. In particular, substantial advances have been made in the areas of feature selection, covariance estimation, classification and regression. This book intends to examine important issues arising from high-dimensional data analysis to explore key ideas for statistical inference and prediction.It is structured around topics on multiple hypothesis testing, feature selection, regression, classification, dimension reduction, as well as applications in survival analysis and biomedical research.The book will appeal to graduate students and new researchers interested in the plethora of opportunities available in high-dimensional data analysis.…

Hardcover. Condition: Brand New. 307 pages. 9.75x7.00x0.75 inches. In Stock.

Condition: New. pp. 320.

Gebundene Ausgabe. Condition: Sehr gut. Gebraucht - Sehr gut SG - Ungelesenes Mängelexemplar, gestempelt, mit leichten Lagerspuren - Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful discoveries from big data. The book is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics. Readers should have a solid background in statistics and computer science.…

Hardback. Condition: New. Over the last few 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. In particular, substantial advances have been made in the areas of feature selection, covariance estimation, classification and regression. This book intends to examine important issues arising from high-dimensional data analysis to explore key ideas for statistical inference and prediction.It is structured around topics on multiple hypothesis testing, feature selection, regression, classification, dimension reduction, as well as applications in survival analysis and biomedical research.The book will appeal to graduate students and new researchers interested in the plethora of opportunities available in high-dimensional data analysis.…

Condition: New. pp. 320.

Condition: New. pp. VIII, 538 147 illus., 109 illus. in color. Softcover reprint of the original 1st ed. 2018 edition NO-PA16APR2015-KAP.

Condition: New. pp. VIII, 538 147 illus., 109 illus. in color.

Condition: New.

Condition: New.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: New. Offers a valuable guide to a broad range of big data analytics with statistics in cross-disciplinary applicationsShows how to handle high-dimensional problems in big data analyticsOffers software-hardware co-designs for big data analytics Softcover Reprint of the Original 1st 2018 ed.…

Taschenbuch. Condition: Neu. Handbook of Big Data Analytics | Wolfgang Karl Härdle (u. a.) | Taschenbuch | Springer Handbooks of Computational Statistics | viii | Englisch | 2019 | Springer | EAN 9783030132385 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Condition: New.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful discoveries from big data. The book is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics. Readers should have a solid background in statistics and computer science.…