Perspectives on Big Data Analysis 

基本信息

Edited by:S.Ejaz Ahmed

Format:Paperback / softback 191 pages

Publisher:American Mathematical Society

Imprint:American Mathematical Society

ISBN:9781470410421

Published:30 Sep 2014

Classifications:Probability & statistics, Applied mathematics

Weight:296g

Dimensions:180 x 254 x 12 (mm)

Pub. Country:United States

页面参数仅供参考，具体以实物为准

书籍简介

This volume contains the proceedings of the International Workshop on Perspectives on High-dimensional Data Analysis II, held May 30-June 1, 2012, at the Centre de Recherches Mathematiques, Universite de Montreal, Montreal, Quebec, Canada. This book collates applications and methodological developments in high-dimensional statistics dealing with interesting and challenging problems concerning the analysis of complex, high-dimensional data with a focus on model selection and data reduction. The chapters contained in this book deal with submodel selection and parameter estimation for an array of interesting models.

The book also presents some surprising results on high-dimensional data analysis, especially when signals cannot be effectively separated from the noise, it provides a critical assessment of penalty estimation when the model may not be sparse, and it suggests alternative estimation strategies. Readers can apply the suggested methodologies to a host of applications and also can extend these methodologies in a variety of directions. This volume conveys some of the surprises, puzzles and success stories in big data analysis and related fields.

This book is co-published with the Centre de Recherches Mathematiques.

本卷包含2012年5月30日至6月1日在加拿大魁北克蒙特利尔蒙特利尔大学数学研究中心举办的高维数据分析展望国际研讨会的会议记录。这本书整理应用和方法的发展在高维统计处理有趣和具有挑战性的问题与复杂的分析，高维数据与模型选择和数据减少的焦点的应用和方法发展。本书所包含的章节讨论了一组有趣模型的子模型选择和参数估计。

该书还对高维数据分析给出了一些令人惊讶的结果，尤其是当信号不能有效地与噪声分离时，在模型可能不是稀疏的情况下对惩罚估计进行了批判性评估，并提出了替代估计策略。读者可以将建议的方法应用于许多应用程序，也可以在不同的方向上扩展这些方法。这本书讲述了大数据分析和相关领域的一些惊喜、困惑和成功故事。

这本书是与数学研究中心共同出版的。

作者简介

S. Ejaz Ahmed, Brock University, St. Catharines, Ontario, Canada.

S. Ejaz Ahmed，布洛克大学，圣凯瑟琳，加拿大安大略省。