Statistics for High-Dimensional Data
% SALE
Statistics for High-Dimensional Data
% SALE
% SALE
Description
Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical modeling, and procedures controlling false positive selections. A special characteristic of the book is that it contains comprehensive mathematical theory on high-dimensional statistics combined with methodology, algorithms and illustrations with real data examples. This in-depth approach highlights the methods¿ great potential and practical applicability in a variety of settings. As such, it is a valuable resource for researchers, graduate students and experts in statistics, applied mathematics and computer science.
Product details
- Type:
- Book
- Edition:
- 1
- Languages:
-
Original:
English
- Number of Pages:
-
576
- Publisher:
-
Springer
- Publication Date:
-
2011-06-08
- ISBN / EAN:
-
9783642201912
- Weight:
-
1021 g
- Dimensions:
-
16/24/4 cm
- GPSR Manufacturer Reference:
-
[email protected]
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