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Larry Wasserman

Showing results (1-10 of 26) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|March 8, 2017
Stephen Fienberg: Superman of statisticsLarry Wasserman
Statistical Science : a Review Journal of the Institute of Mathematical Statistics|August 17, 2010
Genome-Wide Significance Levels and Weighted Hypothesis TestingKathryn Roeder, Larry Wasserman
Annals of Statistics|September 29, 2009
HIGH DIMENSIONAL VARIABLE SELECTIONLarry Wasserman, Kathryn Roeder
Advances in Neural Information Processing Systems|August 26, 2014
Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical ModelsHan Liu, Kathryn Roeder, Larry Wasserman
Genetic Epidemiology|June 19, 2003
Analysis of multilocus models of associationB Devlin, Kathryn Roeder, Larry Wasserman
Genetic Epidemiology|June 6, 2007
Improving power in genome-wide association studies: weights tip the scaleKathryn Roeder, B Devlin, Larry Wasserman
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 9, 2015
On Learning and Visualizing Practice-based Clinical Pathways for Chronic Kidney DiseaseYiye Zhang, Rema Padman, Larry Wasserman
BMC Genomics|January 10, 2015
Robustness of birth-death and gain models for inferring evolutionary eventsMaureen Stolzer, Larry Wasserman, Dannie Durand
Proceedings of the National Academy of Sciences of the United States of America|July 8, 2020
Universal inferenceLarry Wasserman, Aaditya Ramdas, Sivaraman Balakrishnan
Journal of the American Statistical Association|September 20, 2014
Distribution Free Prediction SetsJing Lei, James Robins, Larry Wasserman
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
Proceedings of the National Academy of Sciences of the United States of America|March 8, 2017
Stephen Fienberg: Superman of statisticsLarry Wasserman
Statistical Science : a Review Journal of the Institute of Mathematical Statistics|August 17, 2010
Genome-Wide Significance Levels and Weighted Hypothesis TestingKathryn Roeder, Larry Wasserman
Annals of Statistics|September 29, 2009
HIGH DIMENSIONAL VARIABLE SELECTIONLarry Wasserman, Kathryn Roeder
Advances in Neural Information Processing Systems|August 26, 2014
Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical ModelsHan Liu, Kathryn Roeder, Larry Wasserman
Genetic Epidemiology|June 19, 2003
Analysis of multilocus models of associationB Devlin, Kathryn Roeder, Larry Wasserman
Genetic Epidemiology|June 6, 2007
Improving power in genome-wide association studies: weights tip the scaleKathryn Roeder, B Devlin, Larry Wasserman
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 9, 2015
On Learning and Visualizing Practice-based Clinical Pathways for Chronic Kidney DiseaseYiye Zhang, Rema Padman, Larry Wasserman
BMC Genomics|January 10, 2015
Robustness of birth-death and gain models for inferring evolutionary eventsMaureen Stolzer, Larry Wasserman, Dannie Durand
Proceedings of the National Academy of Sciences of the United States of America|July 8, 2020
Universal inferenceLarry Wasserman, Aaditya Ramdas, Sivaraman Balakrishnan
Journal of the American Statistical Association|September 20, 2014
Distribution Free Prediction SetsJing Lei, James Robins, Larry Wasserman
Pageof 3