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High-Dimensional Statistics: A Non-Asymptotic Viewpoint (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 48)
This book provides a self-contained introduction to the area of high-dimensional statistics, aimed at the first-year graduate level.
High-Dimensional Statistics: A Non-Asymptotic Viewpoint (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 48)
Item #: 28963291

High-Dimensional Statistics: A Non-Asymptotic Viewpoint (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 48)

Item #: 28963291

GBP 83

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This book provides a self-contained introduction to the area of high-dimensional statistics, aimed at the first-year graduate level.
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What Stands Out

Comprehensive Insights
Provides a thorough exploration of high-dimensional statistics, offering non-asymptotic approaches to complex statistical problems, making it invaluable for researchers and students advancing in this critical field.
Practical Applications
Equips readers with practical techniques and methodologies applicable in real-world scenarios, bridging the gap between theory and practice, thus appealing to applied statisticians and data scientists.
Expert Contributions
Authored by leading experts, ensuring high-quality content and cutting-edge perspectives in statistical mathematics, delivering exceptional value for academics and professionals seeking to enhance their knowledge and skills.

Product Details

Discover the latest High-Dimensional Statistics Books at Ubuy Jersey. Find a wide selection of non-asymptotic viewpoint books in the Cambridge Series. Shop now!
  • Self-contained introduction to high-dimensional statistics at the first-year graduate level
  • Covers core methodology and theory, including tail bounds, concentration inequalities, and empirical process
  • Explores specific model classes such as sparse linear models, graphical models, and non-parametric models
  • Contains hundreds of worked examples and exercises
  • Designed for graduate students and researchers in statistics and machine learning
  • Suitable for courses or self-study for understanding modern statistical methods for large-scale data
Publisher Cambridge University Press
Publication date February 21, 2019
Edition 1st
Language English
Print length 568 pages
ISBN-10 1108498027
ISBN-13 978-1108498029
Item Weight 2.65 pounds (1.2 kg)
Dimensions 7.25 x 1.5 x 10.25 inches (18.4 x 3.8 x 26 cm)
Part of series Cambridge Series in Statistical and Probabilistic Mathematics

Who Should Buy?

Suitable For
  • Statistical Researchers

    Ideal for researchers focused on developing new statistical methods in high-dimensional settings, enhancing their theoretical groundwork.

  • Graduate Students

    Suitable for graduate students in statistics who require a comprehensive understanding of high-dimensional statistical analysis techniques.

  • Data Scientists

    Data scientists working with complex datasets will benefit from the insights into high-dimensional statistical challenges and solutions.

Not Suitable For
  • Beginner Statistics

    Not ideal for beginners in statistics, as the content assumes prior knowledge of advanced statistical concepts and theories.

Product Description

High-Dimensional Statistics: A Non-Asymptotic Viewpoint (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 48)

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Probability & Statistics Editorial Review

This book is a great reference for econometricians exploring high-dimensional methods. While it is a heavy mathematics text, it is well written and readable. It covers state of the art topics and is recommended for graduate students and researchers in statistics, machine learning, and electrical engineering.

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Pros

  • Great reference for econometricians exploring high-dimensional methods
  • Well written and readable
  • Covers state of the art topics
  • Recommended for graduate students and researchers in statistics, machine learning, and electrical engineering

Cons

  • Heavy mathematics text

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