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Author: Trevor Hastie Publisher: CRC Press ISBN: 1498712177 Category : Business & Economics Languages : en Pages : 354
Book Description
Discover New Methods for Dealing with High-Dimensional DataA sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents methods that exploit sparsity to help recover the underl
Author: Trevor Hastie Publisher: CRC Press ISBN: 1498712177 Category : Business & Economics Languages : en Pages : 354
Book Description
Discover New Methods for Dealing with High-Dimensional DataA sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents methods that exploit sparsity to help recover the underl
Author: Georgy L. Shevlyakov Publisher: John Wiley & Sons ISBN: 1118493451 Category : Mathematics Languages : en Pages : 353
Book Description
This bookpresents material on both the analysis of the classical concepts of correlation and on the development of their robust versions, as well as discussing the related concepts of correlation matrices, partial correlation, canonical correlation, rank correlations, with the corresponding robust and non-robust estimation procedures. Every chapter contains a set of examples with simulated and real-life data. Key features: Makes modern and robust correlation methods readily available and understandable to practitioners, specialists, and consultants working in various fields. Focuses on implementation of methodology and application of robust correlation with R. Introduces the main approaches in robust statistics, such as Huber’s minimax approach and Hampel’s approach based on influence functions. Explores various robust estimates of the correlation coefficient including the minimax variance and bias estimates as well as the most B- and V-robust estimates. Contains applications of robust correlation methods to exploratory data analysis, multivariate statistics, statistics of time series, and to real-life data. Includes an accompanying website featuring computer code and datasets Features exercises and examples throughout the text using both small and large data sets. Theoretical and applied statisticians, specialists in multivariate statistics, robust statistics, robust time series analysis, data analysis and signal processing will benefit from this book. Practitioners who use correlation based methods in their work as well as postgraduate students in statistics will also find this book useful.
Author: Tony Cai;Xiaotong Shen Publisher: ISBN: 9787894236326 Category : Languages : en Pages : 318
Book Description
Over the last few years, significant developments have been taking place in highdimensional 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 highdimensional data analysis to explore key ideas for statistical inference and prediction. It is structured around topics on multiple hypothesis testing, feature selection, regression, cla.
Author: Shuguang Cui Publisher: Cambridge University Press ISBN: 1316445275 Category : Technology & Engineering Languages : en Pages : 459
Book Description
Utilising both key mathematical tools and state-of-the-art research results, this text explores the principles underpinning large-scale information processing over networks and examines the crucial interaction between big data and its associated communication, social and biological networks. Written by experts in the diverse fields of machine learning, optimisation, statistics, signal processing, networking, communications, sociology and biology, this book employs two complementary approaches: first analysing how the underlying network constrains the upper-layer of collaborative big data processing, and second, examining how big data processing may boost performance in various networks. Unifying the broad scope of the book is the rigorous mathematical treatment of the subjects, which is enriched by in-depth discussion of future directions and numerous open-ended problems that conclude each chapter. Readers will be able to master the fundamental principles for dealing with big data over large systems, making it essential reading for graduate students, scientific researchers and industry practitioners alike.
Author: Vialar Thierry Publisher: BoD - Books on Demand ISBN: 2955199052 Category : Mathematics Languages : en Pages : 1134
Book Description
The book, revised, consists of XI Parts and 28 Chapters covering all areas of mathematics. It is a tool for students, scientists, engineers, students of many disciplines, teachers, professionals, writers and also for a general reader with an interest in mathematics and in science. It provides a wide range of mathematical concepts, definitions, propositions, theorems, proofs, examples, and numerous illustrations. The difficulty level can vary depending on chapters, and sustained attention will be required for some. The structure and list of Parts are quite classical: I. Foundations of Mathematics, II. Algebra, III. Number Theory, IV. Geometry, V. Analytic Geometry, VI. Topology, VII. Algebraic Topology, VIII. Analysis, IX. Category Theory, X. Probability and Statistics, XI. Applied Mathematics. Appendices provide useful lists of symbols and tables for ready reference. Extensive cross-references allow readers to find related terms, concepts and items (by page number, heading, and objet such as theorem, definition, example, etc.). The publisher’s hope is that this book, slightly revised and in a convenient format, will serve the needs of readers, be it for study, teaching, exploration, work, or research.
Author: Dale Mood Publisher: Routledge ISBN: 1351211056 Category : Mathematics Languages : en Pages : 443
Book Description
An understanding and working knowledge of the basic principles of statistics are of central importance in understanding the sport and health sciences. Introduction to Statistics in Human Performance: Using SPSS and R provides students facing statistical problems for the first time with an accessible and informal introduction to the key concepts and procedures of statistical analysis. Now in its second edition, the book covers processes involved in using both SPSS and R, and includes chapters on: research methods descriptive statistics the normal curve and standard scores correlation and regression inferential statistics introduction issues in inferential statistics t-tests anova, factorial anova and manova advanced statistics, and nonparametric statistics Including examples relevant to the field, review questions, practice computer problems and activities throughout, and online materials including step-by-step video guides, data tables for importing into computer activities, a bank of possible test questions, and PowerPoint® slides, the book offers students all the tools they need to understand statistical concepts in sport and exercise. This is a vital resource for any students of sport and exercise science, kinesiology, physical therapy, athletic training, and fitness and health taking classes in statistics.
Author: Management Association, Information Resources Publisher: IGI Global ISBN: 1466624566 Category : Computers Languages : en Pages : 2335
Book Description
Data mining continues to be an emerging interdisciplinary field that offers the ability to extract information from an existing data set and translate that knowledge for end-users into an understandable way. Data Mining: Concepts, Methodologies, Tools, and Applications is a comprehensive collection of research on the latest advancements and developments of data mining and how it fits into the current technological world.
Author: Fereidoon Shahidi Publisher: CRC Press ISBN: 1000125262 Category : Technology & Engineering Languages : en Pages : 278
Book Description
Research and development of seafood continues to be productive in terms of new and improved products for both food and non-food purposes. The use of biotechnology, microbiology, computer modeling and advanced analytical techniques has led to improvements in processing and product safety. This recent book provides extensive new information on these developments. The 25 reports were prepared by food scientists specializing in seafood. The reports are well illustrated with numerous schematics and some micrographs. Extensive reference data is provided in tables and graphs.
Author: Trevor Hastie
Author: Trevor Hastie
Author: Georgy L. Shevlyakov
Author: Tony Cai;Xiaotong Shen
Author: Roberta Gori
Author: Shuguang Cui
Author: Roman Vershynin
Author: Vialar Thierry
Author: Dale Mood
Author: Management Association, Information Resources
Author: Fereidoon Shahidi