ScienceOpen:
research and publishing network
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
My ScienceOpen
Sign in
Register
Dashboard
Blog
About
Search
Advanced search
My ScienceOpen
Sign in
Register
Dashboard
Search
Search
Advanced search
For Publishers
Discovery
Metadata
Peer review
Hosting
Publishing
For Researchers
Join
Publish
Review
Collect
Blog
About
4
views
0
references
Top references
cited by
145
Cite as...
0 reviews
Review
0
comments
Comment
0
recommends
+1
Recommend
0
collections
Add to
0
shares
Share
Twitter
Sina Weibo
Facebook
Email
2,516
similar
All similar
Record
: found
Abstract
: not found
Book
: not found
Statistics for High-Dimensional Data
other
Author(s):
Peter Bühlmann
,
Sara van de Geer
Publication date
(Print):
2011
Publisher:
Springer Berlin Heidelberg
Read this book at
Publisher
Further versions
oa repository (via OAI-PMH doi match)
Powered by
Buy book
Review
Review book
Invite someone to review
Bookmark
Cite as...
There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience.
Related collections
ChemSpider related publications
Author and book information
Book
ISBN (Print):
978-3-642-20191-2
ISBN (Electronic):
978-3-642-20192-9
Publication date (Print):
2011
DOI:
10.1007/978-3-642-20192-9
SO-VID:
3faaa317-c218-4fb9-92f6-fb5c1ec76ced
License:
http://www.springer.com/tdm
History
Data availability:
Comments
Comment on this book
Sign in to comment
Book chapters
pp. 1
Introduction
pp. 7
Lasso for linear models
pp. 45
Generalized linear models and the Lasso
pp. 55
The group Lasso
pp. 77
Additive models and many smooth univariate functions
pp. 99
Theory for the Lasso
pp. 183
Variable selection with the Lasso
pp. 249
Theory for ℓ1/ℓ2-penalty procedures
pp. 293
Non-convex loss functions and ℓ1-regularization
pp. 339
Stable solutions
pp. 359
P-values for linear models and beyond
pp. 387
Boosting and greedy algorithms
pp. 433
Graphical modeling
pp. 481
Probability and moment inequalities
Similar content
2,516
Statistical analysis strategies for association studies involving rare variants.
Authors:
Ali Torkamani
,
N Schork
,
Vikas Bansal
…
Statistical predictor identification
Authors:
Hirotugu Akaike
Quantifying species’ geographic range changes: conceptual and statistical issues
Authors:
Craig Loehle
,
C Loehle
See all similar
Cited by
138
Confidence intervals for low dimensional parameters in high dimensional linear models
Authors:
Cun-Hui Zhang
,
Stephanie S. Zhang
Challenges of Big Data Analysis.
Authors:
Jianqing Fan
,
Fang Han
,
Han Liu
Fast and accurate detection of evolutionary shifts in Ornstein-Uhlenbeck models
Authors:
Thomas Hansen
,
Mohammad Khabbazian
,
Ricardo Kriebel
…
See all cited by