Statistical foundations of data science

Contributor(s):

Fan, Jianqing [author.]

Material type: Text

TextLanguage: English Publication details: Boca Raton : CRC Press, 2020.Description: xxi, 752p. : ill. ; 24 cmISBN:

9781032941752

Subject(s):

Other classification:

B28 R0

Summary: Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications. The book begins with an introduction to the stylized features of big data and their impacts on statistical analysis.

Item type:

Textual

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Holdings
Item type	Current library	Home library	Call number	Status	Barcode
Textual	Central Science Library	Central Science Library	B28 R0 (Browse shelf(Opens below))	Available	SL1655941

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Includes reference and index

Statistical Foundations of Data Science gives a thorough introduction to commonly used statistical models, contemporary statistical machine learning techniques and algorithms, along with their mathematical insights and statistical theories. It aims to serve as a graduate-level textbook and a research monograph on high-dimensional statistics, sparsity and covariance learning, machine learning, and statistical inference. It includes ample exercises that involve both theoretical studies as well as empirical applications. The book begins with an introduction to the stylized features of big data and their impacts on statistical analysis.

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