Statistics For High Dimensional Data Methods Theory And Applications(1st Edition)

Authors:

Peter Bühlmann , Sara Van De Geer

Statistics For High Dimensional Data Methods Theory And Applications1st EditionPeter Bühlmann , Sara Van De Geer3642268579, 978-3642268571
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ISBN: 3642268579, 978-3642268571

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Customer Reviews

Trusted feedback from verified buyers

DR
Damien Randall
3.0
Reviewed In United States United States • October 13, 2023
Decent introduction but some parts are overly complex.
MH
Margaret Hardy
4.0
Reviewed In United States United States • October 2, 2023
The book achieves a commendable balance between theory and practical application, which I find important. I wish there were more programming examples, but the existing ones do aid in understanding complex methods. Delivery was prompt and book was well-packaged with no damage. Overall, a worth-addition to my professional library.
RD
Ruby Doyle
4.0
Reviewed In United States United States • September 10, 2023
This book provides a solid foundation in high dimensional statistics, with a focus on applicable methods which I found particularly useful. While some sections are dense, the authors make an effort to clarify complex concepts with practical examples. Bought it with a member discount. My only note is that a few more visuals could enhance the experience. Still, a very helpful guide for anyone venturing into this field.
LC
Laura Coleman
5.0
Reviewed In United States United States • August 15, 2023
If you're diving into high dimensional data, this book is a must-have. I particularly appreciated the detailed theoretical discussions paired with practical applications. The authors have done a phenomenal job highlighting key methods with clarity and precision. The book was delivered within two days - a nice bonus. Overall, it's a treasure trove of knowledge for both academia and industry professionals.
JB
Jared Bowen
5.0
Reviewed In United States United States • July 21, 2023
Statistics For High Dimensional Data is a comprehensive and well-structured guide for tackling complex statistical issues. The depth of coverage in both theory and practical applications sets it apart. The examples are illustrative and well-integrated into the explanation. As a student enrolled in a master's program, I found this book invaluable for my coursework. Plus, it arrived quicker than expected and in perfect condition. Highly recommended for anyone looking to deepen their understanding.

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