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Daniela M Witten

Showing results (11-20 of 46) with videos related to

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Statistical Applications in Genetics and Molecular Biology|July 4, 2009
Extensions of sparse canonical correlation analysis with applications to genomic dataDaniela M Witten, Robert J Tibshirani
Journal of the Royal Statistical Society. Series B, Statistical Methodology|May 13, 2014
The joint graphical lasso for inverse covariance estimation across multiple classesPatrick Danaher, Pei Wang, Daniela M Witten
Biometrika|September 15, 2016
Selection and estimation for mixed graphical modelsShizhe Chen, Daniela M Witten, Ali Shojaie
Biostatistics (Oxford, England)|April 21, 2009
A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysisDaniela M Witten, Robert Tibshirani, Trevor Hastie
Technometrics : a Journal of Statistics for the Physical, Chemical, and Engineering Sciences|May 13, 2014
The Cluster Elastic Net for High-Dimensional Regression With Unknown Variable GroupingDaniela M Witten, Ali Shojaie, Fan Zhang
Journal of the American Statistical Association|April 6, 2018
Network Reconstruction From High-Dimensional Ordinary Differential EquationsShizhe Chen, Ali Shojaie, Daniela M Witten
Biostatistics (Oxford, England)|October 16, 2021
Quantifying uncertainty in spikes estimated from calcium imaging dataYiqun T Chen, Sean W Jewell, Daniela M Witten
Journal of Machine Learning Research : JMLR|March 14, 2024
Tree-Values: Selective Inference for Regression TreesAnna C Neufeld, Lucy L Gao, Daniela M Witten
Biostatistics (Oxford, England)|October 18, 2011
Normalization, testing, and false discovery rate estimation for RNA-sequencing dataJun Li, Daniela M Witten, Iain M Johnstone, et al.
Biometrika|July 25, 2017
Replicates in high dimensions, with applications to latent variable graphical modelsKean Ming Tan, Yang Ning, Daniela M Witten, et al.
Pageof 5

Showing results (11-20 of 46) with videos related to

Sort By:
Pageof 5
Statistical Applications in Genetics and Molecular Biology|July 4, 2009
Extensions of sparse canonical correlation analysis with applications to genomic dataDaniela M Witten, Robert J Tibshirani
Journal of the Royal Statistical Society. Series B, Statistical Methodology|May 13, 2014
The joint graphical lasso for inverse covariance estimation across multiple classesPatrick Danaher, Pei Wang, Daniela M Witten
Biometrika|September 15, 2016
Selection and estimation for mixed graphical modelsShizhe Chen, Daniela M Witten, Ali Shojaie
Biostatistics (Oxford, England)|April 21, 2009
A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysisDaniela M Witten, Robert Tibshirani, Trevor Hastie
Technometrics : a Journal of Statistics for the Physical, Chemical, and Engineering Sciences|May 13, 2014
The Cluster Elastic Net for High-Dimensional Regression With Unknown Variable GroupingDaniela M Witten, Ali Shojaie, Fan Zhang
Journal of the American Statistical Association|April 6, 2018
Network Reconstruction From High-Dimensional Ordinary Differential EquationsShizhe Chen, Ali Shojaie, Daniela M Witten
Biostatistics (Oxford, England)|October 16, 2021
Quantifying uncertainty in spikes estimated from calcium imaging dataYiqun T Chen, Sean W Jewell, Daniela M Witten
Journal of Machine Learning Research : JMLR|March 14, 2024
Tree-Values: Selective Inference for Regression TreesAnna C Neufeld, Lucy L Gao, Daniela M Witten
Biostatistics (Oxford, England)|October 18, 2011
Normalization, testing, and false discovery rate estimation for RNA-sequencing dataJun Li, Daniela M Witten, Iain M Johnstone, et al.
Biometrika|July 25, 2017
Replicates in high dimensions, with applications to latent variable graphical modelsKean Ming Tan, Yang Ning, Daniela M Witten, et al.
Pageof 5