Statistics for high-dimensional data [Documento electrónico] : methods, theory and applications / Peter Bühlmann, Sara van de Geer
Language: eng.Country: Germany.Publication: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Description: XVIII, 558 p.ISBN: 978-3-642-20192-9.Series: Springer Series in StatisticsSubject - Topical Name: Estatística matemática | Modelos lineares (Estatística) Online Resources:Click here to access onlineItem type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
E-Books | Biblioteca NOVA FCT Online | Não Ficção | QA276.SPR FCT 82507 (Browse shelf(Opens below)) | 1 | Available |
Browsing Biblioteca NOVA FCT shelves, Shelving location: Online, Collection: Não Ficção Close shelf browser (Hides shelf browser)
QA276.SPR FCT 82468 The foundations of statistics, a simulation-based approach | QA276.SPR FCT 82482 Chemometrics with R, multivariate data analysis in the natural sciences and life sciences | QA276.SPR FCT 82485 A tiny handbook of R | QA276.SPR FCT 82507 Statistics for high-dimensional data, methods, theory and applications | QA276.SPR FCT 82583 Recent developments in modeling and applications in statistics | QA276.SPR FCT 82631 Robustness and complex data structures, festschrift in honour of Ursula Gather | QA276.SPR FCT 82633 Long-memory processes, probabilistic properties and statistical methods |
Colocação: Online
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.
There are no comments on this title.