G. Wahba

发表

Smoothing spline ANOVA models for large data sets with Bernoulli observations and the randomized GACV

Xiwu Lin, G. Wahba, Dong Xiang, 2000 .

Estimating Tree-Structured Covariance Matrices via Mixed-Integer Programming

Stephen J. Wright, Grace Wahba, Héctor Corrada Bravo, 2009, AISTATS.

The partitioned LASSO-patternsearch algorithm with application to gene expression data

Stephen J. Wright, Rafael A. Irizarry, Grace Wahba, 2012, BMC Bioinformatics.

Good Ridge Parameter

G. Golub, M. Heath, G. Wahba, 1979 .

Variable Selection and Model Building via Likelihood Basis Pursuit

Meta M. Voelker, Hao Helen Zhang, Yi Lin, 2004 .

LASSO-Patternsearch algorithm with application to ophthalmology and genomic data.

Grace Wahba, Weiliang Shi, Stephen Wright, 2006, Statistics and its interface.

Smoothing Spline ANOVA for Multivariate Bernoulli Observations With Application to Ophthalmology Data

G. Wahba, Fangyu Gao, R. Klein, 2001 .

Doubly penalized likelihood estimator in heteroscedastic regression

M. Yuan, G. Wahba, 2004 .

The Bias-Variance Tradeoff and the Randomized GACV

Dong Xiang, Grace Wahba, Xiwu Lin, 1998, NIPS.

LASSO-Patternsearch Algorithm with Application to Ophthalmology Data

Stephen J. Wright, Barbara E. K. Klein, Ronald Klein, 2006 .

Generalized cross-validation as a method for choosing a good ridge parameter

Gene H. Golub, Michael T. Heath, Grace Wahba, 1979, Milestones in Matrix Computation.

Framework for kernel regularization with application to protein clustering.

Stephen J. Wright, Fan Lu, Sunduz Keles, 2005, Proceedings of the National Academy of Sciences of the United States of America.

Group variable selection via convex log‐exp‐sum penalty with application to a breast cancer survivor study

Sijian Wang, Grace Wahba, Menggang Yu, 2013, Biometrics.

Using distance covariance for improved variable selection with application to learning genetic risk models

G. Wahba, Sijian Wang, Jing Kong, 2015, Statistics in medicine.

SIGNAL PROBABILITY ESTIMATION WITH PENALIZED LIKELIHOOD METHOD ON WEIGHTED DATA

G. Wahba, P. Desiati, G. Hill, 2006 .

Optimizing the limit setting potential of a multivariate analysis using the Bayes posterior ratio

G. Wahba, P. Desiati, G. Hill, 2003 .

Using distance correlation and SS-ANOVA to assess associations of familial relationships, lifestyle factors, diseases, and mortality

Jing Kong, Ronald Klein, Grace Wahba, 2012, Proceedings of the National Academy of Sciences.

Penalized Likelihood Regression in Reproducing Kernel Hilbert Spaces with Randomized Covariate Data

Bin Dai, Ronald Klein, Grace Wahba, 2010, 1008.0415.

Variable Selection via Basis Pursuit for Non-Gaussian Data

Michael C. Ferris, Meta M. Voelker, Ronald Klein, 2001 .

Backward multiple imputation estimation of the conditional lifetime expectancy function with application to censored human longevity data

G. Wahba, R. Klein, B. Klein, 2015, Proceedings of the National Academy of Sciences.

A Linear Mixed Effects Clustering Model for Multi-species Time Course Gene Expression Data 1

S. Keleş, G. Wahba, K. Eng, 2008 .

Kernel Regularization and Dimension Reduction

Stephen J. Wright, Fan Lu, Grace Wahba, 2006 .

Smoothing spline models for the analysis of nested and crossed samples of curves. Commentaries. Authors' reply

Jianqing Fan, B. Silverman, J. Ramsay, 1998 .

Using distance covariance for improved variable selection

G. Wahba, Sijian Wang, Jing Kong, 2014 .

2 Likelihood Basis Pursuit 2 . 1 Smoothing Spline ANOVA for Exponential

Meta M. Voelker, Yi Lin, G. Wahba, 2006 .

LASSO-Patternsearch algorithm with application to ophthalmology and genomic data.

S. Wright, G. Wahba, R. Klein, 2006, Statistics and its interface.

NO . 1166 August 23 , 2011 The Partitioned LASSO-Pattersearch Algorithm With Application to Gene Expression Data

G. Wahba, H. Bravo, R. Irizarry, 2011 .

Corrections

G. Wahba, Fangyu Gao, Ronald Klein, 1973, The Lancet Neurology.

Reliable stereological method for estimating the number of microscopic hepatocellular foci from their transections.

D. Nychka, G. Wahba, S. Goldfarb, 1983, Cancer research.

Data mining, neural nets, trees — Problems 2 and 3 of Genetic Analysis Workshop 15

Xin Li, Jing Li, Dumitru Brinza, 2007, Genetic epidemiology.

Examining the relative influence of familial, genetic, and environmental covariate information in flexible risk models

Héctor Corrada Bravo, Kristine E Lee, Barbara E K Klein, 2009, Proceedings of the National Academy of Sciences.

Using distance covariance for improved variable selection with applications to genetic risk models

Sijian Wang, Grace Wahba, Jing Kong, 2014, 1407.7297.

Optimal use of sampled tissue sections for estimating the number of hepatocellular foci.

D. Nychka, G. Wahba, S. Goldfarb, 1984, Cancer research.

Statistical tests and identifiability conditions for pooling and analyzing multisite datasets

Sterling C. Johnson, Vikas Singh, Grace Wahba, 2018, Proceedings of the National Academy of Sciences.

When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, $\ell_2$-consistency and Neuroscience Applications

Sterling C. Johnson, Vamsi K. Ithapu, Yilin Zhang, 2017, ICML.

Generalized cross-validation as a method for choosing a good ridge parameter

G. Golub, M. Heath, G. Wahba, 1979, Milestones in Matrix Computation.

LASSO-Patternsearch algorithm with application to ophthalmology data

G. Wahba, Barbara E. K. Klein, Weiliang Shi, 2006 .

Examining the relative influence of familial, genetic, and environmental covariate information in flexible risk models

G. Wahba, B. Klein, Kristine E. Lee, 2009, Proceedings of the National Academy of Sciences.

Detecting disease-causing genes by LASSO-Patternsearch algorithm

G. Wahba, Weiliang Shi, Kristine E. Lee, 2007, BMC proceedings.

Multicategory Support Vector Machines

Yi Lin, Yoonkyung Lee, G. Wahba, 2001 .