000 -LEADER |
fixed length control field |
02832nam a22004335i 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OSt |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20140310151456.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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110719s2011 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783642201929 |
|
978-3-642-20192-9 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA276-280 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
519.5 |
Edition number |
23 |
264 #1 - |
-- |
Berlin, Heidelberg : |
-- |
Springer Berlin Heidelberg, |
-- |
2011. |
912 ## - |
-- |
ZDB-2-SMA |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Bühlmann, Peter. |
Relator term |
author. |
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
Title |
Statistics for High-Dimensional Data |
Medium |
[electronic resource] : |
Remainder of title |
Methods, Theory and Applications / |
Statement of responsibility, etc |
by Peter Bühlmann, Sara van de Geer. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
XVIII, 558 p. |
Other physical details |
online resource. |
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE |
Title |
Springer Series in Statistics, |
International Standard Serial Number |
0172-7397 |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Introduction -- Lasso for linear models -- Generalized linear models and the Lasso -- The group Lasso -- Additive models and many smooth univariate functions -- Theory for the Lasso -- Variable selection with the Lasso -- Theory for l1/l2-penalty procedures -- Non-convex loss functions and l1-regularization -- Stable solutions -- P-values for linear models and beyond -- Boosting and greedy algorithms -- Graphical modeling -- Probability and moment inequalities -- Author Index -- Index -- References -- Problems at the end of each chapter. |
520 ## - SUMMARY, ETC. |
Summary, etc |
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. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Statistics. |
|
Topical term or geographic name as entry element |
Computer science. |
|
Topical term or geographic name as entry element |
Mathematical statistics. |
|
Topical term or geographic name as entry element |
Statistics. |
|
Topical term or geographic name as entry element |
Statistical Theory and Methods. |
|
Topical term or geographic name as entry element |
Probability and Statistics in Computer Science. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
van de Geer, Sara. |
Relator term |
author. |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY |
Title |
Springer eBooks |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Display text |
Printed edition: |
International Standard Book Number |
9783642201912 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
http://dx.doi.org/10.1007/978-3-642-20192-9 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Item type |
E-Book |