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CRC2014,Introduction to High-Dimensional Statistics pdf Christophe Giraud

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  • TA的每日心情
    开心
    2016-3-19 06:18
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    [LV.4]偶尔看看III

    发表于 2015-2-26 11:17:10 | 显示全部楼层 |阅读模式
    Introduction to High-Dimensional Statistics (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) pdf, 2014
    by Christophe Giraud  
    里面每章的习题就是法国数学老师出题特色,一题有很多问,从简单到难。最新的大数据统计学习理论教材,值得统计研究生拥有。内容包括Model Selection,Aggregation of Estimators,Convex Criteria(Lassso等),Estimator Selection,Multivariate Regression,Graphical Models,Supervised Classification
    Each chapter of the book ends with some exercises, and the reader is invited to share
    his solutions on the wiki-site
    http://high-dimensional-statistics.wikidot.com


    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.

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    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.

    Review
    "There is a real need for this book. It can quickly make someone new to the field familiar with modern topics in high-dimensional statistics and machine learning, and it is great as a textbook for an advanced graduate course."
    —Marten H. Wegkamp, Cornell University, Ithaca, New York, USA

    "As a mathematician, I am quite charmed by the book and its focus on getting the important ideas through in as short a form as possible, all the while sacrificing none of the mathematical correctness. I certainly plan to use it myself as a support in my own lectures!"
    —Gilles Blanchard, University of Potsdam, Germany

    About the Author
    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.


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  • TA的每日心情
    慵懒
    2015-4-22 08:23
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    [LV.7]常住居民III

    发表于 2015-2-27 07:56:17 | 显示全部楼层
    thanks thanks
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  • TA的每日心情

    2015-2-28 19:55
  • 签到天数: 47 天

    [LV.5]常住居民I

    发表于 2015-2-27 08:01:12 | 显示全部楼层
    好書!
    下來看看!
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  • TA的每日心情
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    2019-1-1 22:16
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    [LV.9]以坛为家II

    发表于 2015-2-27 10:45:09 | 显示全部楼层
    很好的书啊
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  • TA的每日心情
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    2019-5-6 06:19
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    [LV.6]常住居民II

    发表于 2015-3-2 03:50:50 | 显示全部楼层
    XIE XIE, GOOD BOOK>
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    该用户从未签到

    发表于 2015-3-3 19:08:34 | 显示全部楼层
    Thanks~ Exactly what I need.
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    发表于 2015-3-17 16:41:27 | 显示全部楼层
    谢谢,谢谢,谢谢,谢谢!非要让我凑够这么多字吗?
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  • TA的每日心情
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    2016-5-5 12:23
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    [LV.1]初来乍到

    发表于 2015-6-22 20:26:34 | 显示全部楼层
    顶顶顶顶顶顶顶顶顶顶顶顶
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    发表于 2015-7-2 19:18:56 | 显示全部楼层
    好书赞一下
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