Results 251 to 260 of about 127,829 (293)

Blood plasma proteomic biomarkers for forecasting transition to psychosis in an Asian cohort. [PDF]

Transl Psychiatry
Chan WX, Wong JJ, Yang Z, Yee JY, Lee J, Lee J, Goh WWB.   +6 more
europepmc   +1 more source

Intergenerational associations of depression and anxiety among adult mother-daughter dyads in China. [PDF]

Eur Psychiatry
Lin J, Zhou Y, Zhu X, Zhang Y, Wang H, Dai J, Liu Y, Zhang Z, Cheng Y, Wang S, Cai H, Zhao Y, Ding W, Xu X.   +13 more
europepmc   +1 more source

Variable Selection for Marginal Longitudinal Generalized Linear Models [PDF]

Eva Cantoni, Joanna Mills Flemming, Elvezio Ronchetti   +2 more
core  

Generalized Cross Validation in variable selection with and without shrinkage [PDF]

Journal of Statistical Planning and Inference, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Maarten Jansen
exaly   +3 more sources

Generalized Cross-Validation for Bandwidth Selection of Backfitting Estimates in Generalized Additive Models

Journal of Computational and Graphical Statistics, 2004
This article presents a modified Newton method for minimizing multidimensional bandwidth selection for estimation in generalized additive models. The method is based on the generalized cross-validation criterion applied to backfitting estimates. The approach in particular is applicable to higher dimensional problems and provides a computationally ...
Kauermann, Göran, Opsomer, JD
openaire   +2 more sources

Fast generalized cross validation using Krylov subspace methods

Numerical Algorithms, 2008
The key step of the generalized cross-validation (GCV) method, used in a smoothing spline fitting of noisy data, is the computation of the optimal parameter \(\lambda \) by minimization of the GCV function \[ \text{GCV}(\lambda )= n\, {z^T (Q+\lambda I)^{-2} z \over [ \text{tr}\, ((Q+\lambda I)^{-1})]^2}, \] for the influence matrix \(Q\) and the ...
Roger B. Sidje, Alan B. Williams, Kevin Burrage   +2 more
openaire   +4 more sources

Generalized cross validation for wavelet thresholding

Signal Processing, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Maarten Jansen, Maurits Malfait, Adhemar Bultheel   +2 more
openaire   +5 more sources

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A note on generalized cross-validation with replicates

Statistics and Probability Letters, 1992
Abstract Generalized cross-validation (GCV) is a popular method for choosing the smoothing parameter in generalized spline smoothing when there are independent errors with common unknown variance. When data points are replicated, one can choose the smoothing parameter by minimizing one of three functions: the GCV score computed from the averaged ...
Chong Gu, Nancy Heckman, Grace Wahba
exaly   +3 more sources

Generalized Cross-Validation for Large-Scale Problems

Journal of Computational and Graphical Statistics, 1997
Abstract Although generalized cross-validation is a popular tool for calculating a regularization parameter, it has been rarely applied to large-scale problems until recently. A major difficulty lies in the evaluation of the cross-validation function that requires the calculation of the trace of an inverse matrix. In the last few years stochastic trace
Gene H Golub
exaly   +2 more sources