000			02000cam a22003977a 4500
999			_c3743 _d3743
001			16801706
005			20200211074132.0
008			110531s2011 gw a b 001 0 eng d
010			_a 2011930793
020			_a9783642201912 (hdbk. : acidfree paper)
020			_a3642201911 (hdbk. : acidfree paper)
035			_a(OCoLC)ocn729346867
040			_aBTCTA _beng _cBTCTA _dYDXCP _dOHX _dAZS _dBWX _dCDX _dMUU _dMEAUC _dNJT _dDLC
042			_alccopycat
050	0	0	_aQA276 _b.B84 2011
100	1		_aBühlmann, Peter.
245	1	0	_aStatistics for high-dimensional data : _bmethods, theory and applications / _cPeter Bühlmann, Sara van de Geer.
260			_aHeidelberg ; _aNew York : _bSpringer, _cc2011.
300			_axvii, 556 p. : _bill. (some col.) ; _c24 cm.
490	1		_aSpringer series in statistics
504			_aIncludes bibliographical references (p. 547-556) and indexes.
505	0		_aIntroduction -- 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 l₁/l₂-penalty procedures -- Non-convex loss functions and l₁-regulation -- Stable solutions -- P-values for linear models and beyond -- Boosting and greedy algorithms -- Graphical modeling -- Probabililty and moment inequalities.
650		0	_aMathematical statistics.
650		0	_aSmoothness of functions.
650		0	_aNonconvex programming.
650		0	_aLeast absolute deviations (Statistics)
650		0	_aLinear models (Statistics)
700	1		_aGeer, S. A. van de _q(Sara A.)
830		0	_aSpringer series in statistics.
856			_3Full-text here _uhttps://link.springer.com/book/10.1007/978-3-642-20192-9
906			_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg
936			_aPR 712538943
942			_2lcc _cBK