Differential geometric least angle regression: a differential geometric approach to sparse generalized linear models

Sparsity is an essential feature of many contemporary data problems. Remote sensing, various forms of automated screening and other high throughput measurement devices collect a large amount of information, typically about few independent statistical subjects or units. In certain cases it is reasona...

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Veröffentlicht in:	Journal of the Royal Statistical Society. Series B, Statistical methodology Jg. 75; H. 3; S. 471 - 498
Hauptverfasser:	Augugliaro, Luigi, Mineo, Angelo M., Wit, Ernst C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford, UK Blackwell Publishing Ltd 01.06.2013 Oxford University Press
Schlagworte:	Algorithms Computation Computational methods Covariance penalty theory Degrees of freedom Differential geometry Equivalence Estimators Fisher information Generalization Generalized degrees of freedom Generalized linear model Generalized linear models Geometric angles Geometry Information geometry Least angle regression Linear analysis Linear models Linear regression Mathematical analysis Mathematical independent variables Mathematical models Mathematical vectors Measurement Path following algorithm Regression Regression analysis Remote sensing Screening Sparse models Sparsity Statistical analysis Statistics Studies Tangents Variable selection
ISSN:	1369-7412, 1467-9868
Online-Zugang:	Volltext
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