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.
Les mer
Produktdetaljer
ISBN
9783642201929
Publisert
2020
Utgiver
Vendor
Springer
Språk
Product language
Engelsk
Format
Product format
Digital bok
Forfatter