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Michael Lim
Trevor Hastie

Showing results (1-10 of 585) with videos related to

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Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|January 14, 2016
Learning interactions via hierarchical group-lasso regularizationMichael Lim, Trevor Hastie
Technometrics : a Journal of Statistics for the Physical, Chemical, and Engineering Sciences|August 29, 2022
Ridge Regularization: An Essential Concept in Data ScienceTrevor Hastie
Plos One|June 13, 2017
Sparse EEG/MEG source estimation via a group lassoMichael Lim, Justin M Ales, Benoit R Cottereau, et al.
Biostatistics (Oxford, England)|June 23, 2004
Efficient quadratic regularization for expression arraysTrevor Hastie, Robert Tibshirani
Electronic Journal of Statistics|January 6, 2015
The graphical lasso: New insights and alternativesRahul Mazumder, Trevor Hastie
Journal of Business & Economic Statistics : a Publication of the American Statistical Association|November 2, 2020
CAUSAL INTERPRETATIONS OF BLACK-BOX MODELSQingyuan Zhao, Trevor Hastie
Biostatistics (Oxford, England)|May 17, 2006
Outlier sums for differential gene expression analysisRobert Tibshirani, Trevor Hastie
Annals of Statistics|December 11, 2014
LOCAL CASE-CONTROL SAMPLING: EFFICIENT SUBSAMPLING IN IMBALANCED DATA SETSWilliam Fithian, Trevor Hastie
Ecography|December 11, 2014
Inference from presence-only data; the ongoing controversyTrevor Hastie, Will Fithian
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|July 12, 2024
Modeling longitudinal data using matrix completionŁukasz Kidziński, Trevor Hastie
Pageof 59

Showing results (1-10 of 585) with videos related to

Sort By:
Pageof 59
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|January 14, 2016
Learning interactions via hierarchical group-lasso regularizationMichael Lim, Trevor Hastie
Technometrics : a Journal of Statistics for the Physical, Chemical, and Engineering Sciences|August 29, 2022
Ridge Regularization: An Essential Concept in Data ScienceTrevor Hastie
Plos One|June 13, 2017
Sparse EEG/MEG source estimation via a group lassoMichael Lim, Justin M Ales, Benoit R Cottereau, et al.
Biostatistics (Oxford, England)|June 23, 2004
Efficient quadratic regularization for expression arraysTrevor Hastie, Robert Tibshirani
Electronic Journal of Statistics|January 6, 2015
The graphical lasso: New insights and alternativesRahul Mazumder, Trevor Hastie
Journal of Business & Economic Statistics : a Publication of the American Statistical Association|November 2, 2020
CAUSAL INTERPRETATIONS OF BLACK-BOX MODELSQingyuan Zhao, Trevor Hastie
Biostatistics (Oxford, England)|May 17, 2006
Outlier sums for differential gene expression analysisRobert Tibshirani, Trevor Hastie
Annals of Statistics|December 11, 2014
LOCAL CASE-CONTROL SAMPLING: EFFICIENT SUBSAMPLING IN IMBALANCED DATA SETSWilliam Fithian, Trevor Hastie
Ecography|December 11, 2014
Inference from presence-only data; the ongoing controversyTrevor Hastie, Will Fithian
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|July 12, 2024
Modeling longitudinal data using matrix completionŁukasz Kidziński, Trevor Hastie
Pageof 59