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RecordNumber
1902
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Author
Bhlmann, Peter
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Title
Statistics for high-dimensional data: methods, theory and applications
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Author Statement
Peter Bhlmann, Sara van de Geer
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Publication
Springer
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Publication Year
c2011
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Collation
xvii, 556 p. ill. (some col.) 24 cm
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Series
Springer series in statistics
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Notes
Includes bibliographical references (p. 547-556) and indexes. , 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 l?b1?s/l?b2?s-penalty procedures -- Non-convex loss functions and l?b1?s-regulation -- Stable solutions -- P-values for linear models and beyond -- Boosting and greedy algorithms -- Graphical modeling -- Probabililty and moment inequalities
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Subject
Mathematical statistics. , Smoothness of functions. , Nonconvex programming. , Least absolute deviations (Statistics) , Linear models (Statistics)
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ADDED ENTRIES
Geer, S. A. van de , ,
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LC Class
QA
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LC Number
276
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LC CutterNumber
.B84
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LC Date
2011
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