Spectral Methods for Data Science: A Statistical Perspective - Couverture souple

Chen, Yuxin; Chi, Yuejie; Fan, Jianqing; Ma, Cong

Couverture souple

ISBN 10 : 1680838962 ISBN 13 : 9781680838961

Editeur : now publishers Inc, 2021

Synopsis

In contemporary science and engineering applications, the volume of available data is growing at an enormous rate. Spectral methods have emerged as a simple yet surprisingly effective approach for extracting information from massive, noisy and incomplete data. A diverse array of applications have been found in machine learning, imaging science, financial and econometric modeling, and signal processing. This monograph presents a systematic, yet accessible introduction to spectral methods from a modern statistical perspective, highlighting their algorithmic implications in diverse large-scale applications. The authors provide a unified and comprehensive treatment that establishes the theoretical underpinnings for spectral methods, particularly through a statistical lens. Building on years of research experience in the field, the authors present a powerful framework, called leave-one-out analysis, that proves effective and versatile for delivering fine-grained performance guarantees for a variety of problems. This book is essential reading for all students, researchers and practitioners working in Data Science.

Détails de l'édition

• Éditeur: now publishers Inc
• Date d'édition: 2021
• ISBN 10: 1680838962
• ISBN 13: 9781680838961
• Reliure: Broché
• Langue: anglais
• Nombre de pages: 254
• Coordonnées du fabricant: non disponible