Search Results - subject:"Dimension Reduction"

A new algorithm of non-Gaussian component analysis with radial kernel functions

Kawanabe, Motoaki; Sugiyama, Masashi; Blanchard, Gilles; … - In: Annals of the Institute of Statistical Mathematics 59 (2007) 1, pp. 57-75

Persistent link: https://www.econbiz.de/10005184706

Reader's Reaction to "Dimension Reduction for Classification with Gene Expression Microarray Data" by Dai et al (2006)

Boulesteix, Anne-Laure - In: Statistical Applications in Genetics and Molecular Biology 5 (2007) 1, pp. 16-16

This note is a comment on the article "Dimension Reduction for Classification with Gene Expression Microarray Data …

Persistent link: https://www.econbiz.de/10005585066

Nonasymptotic Bounds on the L <Subscript>2</Subscript> Error of Neural Network Regression Estimates

Hamers, Michael; Kohler, Michael - In: Annals of the Institute of Statistical Mathematics 58 (2006) 1, pp. 131-151

Persistent link: https://www.econbiz.de/10005169267

Asymptotics of sliced inverse regression

Zhu, L; Ng, KW - 1995

Sliced Inverse Regression is a method for reducing the dimension of the explanatory variables x in non-parametric regression problems. Li (1991) discussed a version of this method which begins with a partition of the range of y into slices so that the conditional covariance matrix of x given y...

Persistent link: https://www.econbiz.de/10009471478

Interpretable dimension reduction

Chipman, Hugh; Gu, Hong - In: Journal of Applied Statistics 32 (2005) 9, pp. 969-987

component analysis is a dimension reduction technique that identifies linear combinations of variables along which most …

Persistent link: https://www.econbiz.de/10005495240

A Nonparametric Dimension Test of the Term Structure

Gil-Bazo, Javier; Rubio, Gonzalo - In: Studies in Nonlinear Dynamics & Econometrics 8 (2004) 3, pp. 1117-1117

exploits Ait-Sahalia, Bickel, and Stocker (2001) dimension reduction method. The paper explores the finite sample performance …

Persistent link: https://www.econbiz.de/10005579836

Two Cross Validation Criteria for SIR<Subscript>α</Subscript> and PSIR<Subscript>α</Subscript> methods in view of prediction

Gannoun, Ali; Saracco, Jérôme - In: Computational Statistics 18 (2003) 3, pp. 585-603

In this paper, we will consider the semiparametric regression model introduced by Duan and Li (1991). The response variable y will be linked to an index x′β (i.e. a linear combination of the explanatory variables x) through an unknown function. In order to estimate the direction of the...

Persistent link: https://www.econbiz.de/10011241283

Sufficient Dimension Reduction and Graphics in Regression

Chiaromonte, Francesca; Cook, R. - In: Annals of the Institute of Statistical Mathematics 54 (2002) 4, pp. 768-795

Persistent link: https://www.econbiz.de/10005169303

A Test for Additivity in Nonparametric Regression

Derbort, Stephan; Dette, Holger; Munk, Axel - In: Annals of the Institute of Statistical Mathematics 54 (2002) 1, pp. 60-82

Persistent link: https://www.econbiz.de/10005395841

Nonparametric Estimation of a Generalized Additive Model with an Unknown Link Function

Horowitz, J.L. - Department of Economics, Tippie College of Business - 1998

be overcome by using dimension reduction methods such as single-index, additive, multiplicative, and partially linear … that nests single-index, additive, and multiplicative models. The new model achieves dimension reduction without the need …

Persistent link: https://www.econbiz.de/10005233335