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Electronic Journal of Statistics
|
January 6, 2015
The graphical lasso: New insights and alternatives
Rahul Mazumder, Trevor Hastie
Journal of Machine Learning Research : JMLR
|
November 14, 2014
Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso
Rahul Mazumder, Trevor Hastie
Biorxiv : the Preprint Server for Biology
|
February 17, 2023
Accurate and Efficient Estimation of Local Heritability using Summary Statistics and LD Matrix
Hui Li, Rahul Mazumder, Xihong Lin
Nature Communications
|
December 1, 2023
Accurate and efficient estimation of local heritability using summary statistics and the linkage disequilibrium matrix
Hui Li, Rahul Mazumder, Xihong Lin
Journal of Machine Learning Research : JMLR
|
May 10, 2011
Spectral Regularization Algorithms for Learning Large Incomplete Matrices
Rahul Mazumder, Trevor Hastie, Robert Tibshirani
Biometrics
|
June 30, 2021
Integration of survival data from multiple studies
Steffen Ventz, Rahul Mazumder, Lorenzo Trippa
Journal of the American Statistical Association
|
January 13, 2015
<i>SparseNet</i>: Coordinate Descent With Nonconvex Penalties
Rahul Mazumder, Jerome H Friedman, Trevor Hastie
Biorxiv : the Preprint Server for Biology
|
October 28, 2024
SPLENDID incorporates continuous genetic ancestry in biobank-scale data to improve polygenic risk prediction across diverse populations
Tony Chen, Haoyu Zhang, Rahul Mazumder, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
August 7, 2024
Fast and scalable ensemble learning method for versatile polygenic risk prediction
Tony Chen, Haoyu Zhang, Rahul Mazumder, et al.
Biorxiv : the Preprint Server for Biology
|
October 27, 2023
Ensembled best subset selection using summary statistics for polygenic risk prediction
Tony Chen, Haoyu Zhang, Rahul Mazumder, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 17) with videos related to
Sort By:
Page
of 2
Electronic Journal of Statistics
|
January 6, 2015
The graphical lasso: New insights and alternatives
Rahul Mazumder, Trevor Hastie
Journal of Machine Learning Research : JMLR
|
November 14, 2014
Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso
Rahul Mazumder, Trevor Hastie
Biorxiv : the Preprint Server for Biology
|
February 17, 2023
Accurate and Efficient Estimation of Local Heritability using Summary Statistics and LD Matrix
Hui Li, Rahul Mazumder, Xihong Lin
Nature Communications
|
December 1, 2023
Accurate and efficient estimation of local heritability using summary statistics and the linkage disequilibrium matrix
Hui Li, Rahul Mazumder, Xihong Lin
Journal of Machine Learning Research : JMLR
|
May 10, 2011
Spectral Regularization Algorithms for Learning Large Incomplete Matrices
Rahul Mazumder, Trevor Hastie, Robert Tibshirani
Biometrics
|
June 30, 2021
Integration of survival data from multiple studies
Steffen Ventz, Rahul Mazumder, Lorenzo Trippa
Journal of the American Statistical Association
|
January 13, 2015
<i>SparseNet</i>: Coordinate Descent With Nonconvex Penalties
Rahul Mazumder, Jerome H Friedman, Trevor Hastie
Biorxiv : the Preprint Server for Biology
|
October 28, 2024
SPLENDID incorporates continuous genetic ancestry in biobank-scale data to improve polygenic risk prediction across diverse populations
Tony Chen, Haoyu Zhang, Rahul Mazumder, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
August 7, 2024
Fast and scalable ensemble learning method for versatile polygenic risk prediction
Tony Chen, Haoyu Zhang, Rahul Mazumder, et al.
Biorxiv : the Preprint Server for Biology
|
October 27, 2023
Ensembled best subset selection using summary statistics for polygenic risk prediction
Tony Chen, Haoyu Zhang, Rahul Mazumder, et al.
Page
of 2