• RecordNumber
    1902
  • Author

    Bhlmann, Peter

  • Title

    Statistics for high-dimensional data: methods, theory and applications

  • Author Statement
    Peter Bhlmann, Sara van de Geer
  • Publication
    Springer
  • Publication Year
    c2011
  • Collation
    xvii, 556 p. ill. (some col.) 24 cm
  • Series
    Springer series in statistics
  • 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
  • Subject

    Mathematical statistics. , Smoothness of functions. , Nonconvex programming. , Least absolute deviations (Statistics) , Linear models (Statistics)

  • ADDED ENTRIES
    Geer, S. A. van de , ,
  • LC Class
    QA
  • LC Number
    276
  • LC CutterNumber
    .B84
  • LC Date
    2011
    • Link To Document
    https://math.iranlibs.ir/dl/search/default.aspx?Term=1902&Field=0&DTC=2