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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Vydáno v:	Journal of the Royal Statistical Society. Series B, Statistical methodology Ročník 75; číslo 3; s. 471 - 498
Hlavní autoři:	Augugliaro, Luigi, Mineo, Angelo M., Wit, Ernst C.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford, UK Blackwell Publishing Ltd 01.06.2013 Oxford University Press
Témata:	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
On-line přístup:	Získat plný text
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