Introduction to High-Dimensional Statistics (Monographs on Statistics and Applied Probability, Band 139) - Hardcover

Giraud, Christophe (Paris Sud University, Laboratoire De Mathematiques D'Orsay, France, And Ecole Polytechnique, Centre De Mathematiques Appliquees, Palaiseau, France)

Hardcover

ISBN 10: 1482237946 ISBN 13: 9781482237948

Verlag: Apple Academic Press Inc., 2014

Inhaltsangabe

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.

Über diesen Titel

Über die Autorin bzw. den Autor

Christophe Giraud was a student of the École Normale Supérieure de Paris, and he received a Ph.D in probability theory from the University Paris 6. He was assistant professor at the University of Nice from 2002 to 2008. He has been associate professor at the École Polytechnique since 2008 and professor at Paris Sud University (Orsay) since 2012. His current research focuses mainly on the statistical theory of high-dimensional data analysis and its applications to life sciences.

Details zur Ausgabe

• Verlag: Apple Academic Press Inc.
• Erscheinungsdatum: 2014
• Sprache: Englisch
• ISBN 10: 1482237946
• ISBN 13: 9781482237948
• Einband: Gebundene Ausgabe
• Auflage: 1
• Anzahl der Seiten: 270
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar