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Peter J Bickel

Showing results (1-10 of 30) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|November 14, 2020
David Blackwell, 1919-2010: An explorer in mathematics and statisticsPeter J Bickel
Proceedings of the National Academy of Sciences of the United States of America|November 26, 2009
A nonparametric view of network models and Newman-Girvan and other modularitiesPeter J Bickel, Aiyou Chen
Proceedings of the National Academy of Sciences of the United States of America|August 29, 2018
Projection pursuit in high dimensionsPeter J Bickel, Gil Kur, Boaz Nadler
Proceedings of the National Academy of Sciences of the United States of America|October 30, 2021
Two provably consistent divide-and-conquer clustering algorithms for large networksSoumendu Sundar Mukherjee, Purnamrita Sarkar, Peter J Bickel
Peerj|April 2, 2014
System wide analyses have underestimated protein abundances and the importance of transcription in mammalsJingyi Jessica Li, Peter J Bickel, Mark D Biggin
Proceedings of the National Academy of Sciences of the United States of America|August 20, 2013
Optimal M-estimation in high-dimensional regressionDerek Bean, Peter J Bickel, Noureddine El Karoui, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|October 7, 2009
An overview of recent developments in genomics and associated statistical methodsPeter J Bickel, James B Brown, Haiyan Huang, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 17, 2019
Metalearners for estimating heterogeneous treatment effects using machine learningSören R Künzel, Jasjeet S Sekhon, Peter J Bickel, et al.
Genome Research|July 3, 2014
Comparison of D. melanogaster and C. elegans developmental stages, tissues, and cells by modENCODE RNA-seq dataJingyi Jessica Li, Haiyan Huang, Peter J Bickel, et al.
Journal of the American Statistical Association|December 19, 2024
Dissecting gene expression heterogeneity: generalized Pearson correlation squares and the <i>K</i>-lines clustering algorithmJingyi Jessica Li, Heather J Zhou, Peter J Bickel, et al.
Pageof 3

Showing results (1-10 of 30) with videos related to

Sort By:
Pageof 3
Proceedings of the National Academy of Sciences of the United States of America|November 14, 2020
David Blackwell, 1919-2010: An explorer in mathematics and statisticsPeter J Bickel
Proceedings of the National Academy of Sciences of the United States of America|November 26, 2009
A nonparametric view of network models and Newman-Girvan and other modularitiesPeter J Bickel, Aiyou Chen
Proceedings of the National Academy of Sciences of the United States of America|August 29, 2018
Projection pursuit in high dimensionsPeter J Bickel, Gil Kur, Boaz Nadler
Proceedings of the National Academy of Sciences of the United States of America|October 30, 2021
Two provably consistent divide-and-conquer clustering algorithms for large networksSoumendu Sundar Mukherjee, Purnamrita Sarkar, Peter J Bickel
Peerj|April 2, 2014
System wide analyses have underestimated protein abundances and the importance of transcription in mammalsJingyi Jessica Li, Peter J Bickel, Mark D Biggin
Proceedings of the National Academy of Sciences of the United States of America|August 20, 2013
Optimal M-estimation in high-dimensional regressionDerek Bean, Peter J Bickel, Noureddine El Karoui, et al.
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences|October 7, 2009
An overview of recent developments in genomics and associated statistical methodsPeter J Bickel, James B Brown, Haiyan Huang, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 17, 2019
Metalearners for estimating heterogeneous treatment effects using machine learningSören R Künzel, Jasjeet S Sekhon, Peter J Bickel, et al.
Genome Research|July 3, 2014
Comparison of D. melanogaster and C. elegans developmental stages, tissues, and cells by modENCODE RNA-seq dataJingyi Jessica Li, Haiyan Huang, Peter J Bickel, et al.
Journal of the American Statistical Association|December 19, 2024
Dissecting gene expression heterogeneity: generalized Pearson correlation squares and the <i>K</i>-lines clustering algorithmJingyi Jessica Li, Heather J Zhou, Peter J Bickel, et al.
Pageof 3