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Daniela M Witten

Showing results (1-10 of 46) with videos related to

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Statistics and Its Interface|July 23, 2013
Penalized unsupervised learning with outliersDaniela M Witten
Journal of the American Statistical Association|September 3, 2010
A framework for feature selection in clusteringDaniela M Witten, Robert Tibshirani
Statistical Methods in Medical Research|August 6, 2009
Survival analysis with high-dimensional covariatesDaniela M Witten, Robert Tibshirani
Journal of the American Medical Informatics Association : JAMIA|October 6, 2012
Scientific research in the age of omics: the good, the bad, and the sloppyDaniela M Witten, Robert Tibshirani
Journal of the Royal Statistical Society. Series B, Statistical Methodology|January 20, 2010
Covariance-regularized regression and classification for high-dimensional problemsDaniela M Witten, Robert Tibshirani
The Annals of Applied Statistics|September 17, 2009
TESTING SIGNIFICANCE OF FEATURES BY LASSOED PRINCIPAL COMPONENTSDaniela M Witten, Robert Tibshirani
Journal of the Royal Statistical Society. Series B, Statistical Methodology|February 11, 2012
Penalized classification using Fisher's linear discriminantDaniela M Witten, Robert Tibshirani
Journal of Machine Learning Research : JMLR|January 24, 2024
Selective inference for <math></math>-means clusteringYiqun T Chen, Daniela M Witten
Nucleic Acids Research|January 24, 2012
On the assessment of statistical significance of three-dimensional colocalization of sets of genomic elementsDaniela M Witten, William Stafford Noble
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|November 4, 2014
Sparse Biclustering of Transposable DataKean Ming Tan, Daniela M Witten
Pageof 5

Showing results (1-10 of 46) with videos related to

Sort By:
Pageof 5
Statistics and Its Interface|July 23, 2013
Penalized unsupervised learning with outliersDaniela M Witten
Journal of the American Statistical Association|September 3, 2010
A framework for feature selection in clusteringDaniela M Witten, Robert Tibshirani
Statistical Methods in Medical Research|August 6, 2009
Survival analysis with high-dimensional covariatesDaniela M Witten, Robert Tibshirani
Journal of the American Medical Informatics Association : JAMIA|October 6, 2012
Scientific research in the age of omics: the good, the bad, and the sloppyDaniela M Witten, Robert Tibshirani
Journal of the Royal Statistical Society. Series B, Statistical Methodology|January 20, 2010
Covariance-regularized regression and classification for high-dimensional problemsDaniela M Witten, Robert Tibshirani
The Annals of Applied Statistics|September 17, 2009
TESTING SIGNIFICANCE OF FEATURES BY LASSOED PRINCIPAL COMPONENTSDaniela M Witten, Robert Tibshirani
Journal of the Royal Statistical Society. Series B, Statistical Methodology|February 11, 2012
Penalized classification using Fisher's linear discriminantDaniela M Witten, Robert Tibshirani
Journal of Machine Learning Research : JMLR|January 24, 2024
Selective inference for <math></math>-means clusteringYiqun T Chen, Daniela M Witten
Nucleic Acids Research|January 24, 2012
On the assessment of statistical significance of three-dimensional colocalization of sets of genomic elementsDaniela M Witten, William Stafford Noble
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|November 4, 2014
Sparse Biclustering of Transposable DataKean Ming Tan, Daniela M Witten
Pageof 5