Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Ryan J Tibshirani

Showing results (1-10 of 22) with videos related to

Pageof 3
Sort By:
Proceedings of the National Academy of Sciences of the United States of America|December 14, 2021
Epidemic tracking and forecasting: Lessons learned from a tumultuous yearRoni Rosenfeld, Ryan J Tibshirani
Plos Computational Biology|December 15, 2022
Recalibrating probabilistic forecasts of epidemicsAaron Rumack, Ryan J Tibshirani, Roni Rosenfeld
Annals of Statistics|September 19, 2022
SURPRISES IN HIGH-DIMENSIONAL RIDGELESS LEAST SQUARES INTERPOLATIONTrevor Hastie, Andrea Montanari, Saharon Rosset, et al.
Plos Computational Biology|February 18, 2025
Nowcasting reported covid-19 hospitalizations using de-identified, aggregated medical insurance claims dataXueda Shen, Aaron Rumack, Bryan Wilder, et al.
Annals of Statistics|January 10, 2015
A SIGNIFICANCE TEST FOR THE LASSORichard Lockhart, Jonathan Taylor, Ryan J Tibshirani, et al.
Epidemics|June 15, 2025
Incident COVID-19 infections before Omicron in the U.SRachel Lobay, Ajitesh Srivastava, Ryan J Tibshirani, et al.
Biometrics|January 12, 2021
Post-selection inference for changepoint detection algorithms with application to copy number variation dataSangwon Hyun, Kevin Z Lin, Max G'Sell, et al.
Plos Computational Biology|August 29, 2015
Flexible Modeling of Epidemics with an Empirical Bayes FrameworkLogan C Brooks, David C Farrow, Sangwon Hyun, et al.
Plos Computational Biology|June 16, 2018
Nonmechanistic forecasts of seasonal influenza with iterative one-week-ahead distributionsLogan C Brooks, David C Farrow, Sangwon Hyun, et al.
Journal of the Royal Statistical Society. Series B, Statistical Methodology|December 16, 2014
Strong rules for discarding predictors in lasso-type problemsRobert Tibshirani, Jacob Bien, Jerome Friedman, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Proceedings of the National Academy of Sciences of the United States of America|December 14, 2021
Epidemic tracking and forecasting: Lessons learned from a tumultuous yearRoni Rosenfeld, Ryan J Tibshirani
Plos Computational Biology|December 15, 2022
Recalibrating probabilistic forecasts of epidemicsAaron Rumack, Ryan J Tibshirani, Roni Rosenfeld
Annals of Statistics|September 19, 2022
SURPRISES IN HIGH-DIMENSIONAL RIDGELESS LEAST SQUARES INTERPOLATIONTrevor Hastie, Andrea Montanari, Saharon Rosset, et al.
Plos Computational Biology|February 18, 2025
Nowcasting reported covid-19 hospitalizations using de-identified, aggregated medical insurance claims dataXueda Shen, Aaron Rumack, Bryan Wilder, et al.
Annals of Statistics|January 10, 2015
A SIGNIFICANCE TEST FOR THE LASSORichard Lockhart, Jonathan Taylor, Ryan J Tibshirani, et al.
Epidemics|June 15, 2025
Incident COVID-19 infections before Omicron in the U.SRachel Lobay, Ajitesh Srivastava, Ryan J Tibshirani, et al.
Biometrics|January 12, 2021
Post-selection inference for changepoint detection algorithms with application to copy number variation dataSangwon Hyun, Kevin Z Lin, Max G'Sell, et al.
Plos Computational Biology|August 29, 2015
Flexible Modeling of Epidemics with an Empirical Bayes FrameworkLogan C Brooks, David C Farrow, Sangwon Hyun, et al.
Plos Computational Biology|June 16, 2018
Nonmechanistic forecasts of seasonal influenza with iterative one-week-ahead distributionsLogan C Brooks, David C Farrow, Sangwon Hyun, et al.
Journal of the Royal Statistical Society. Series B, Statistical Methodology|December 16, 2014
Strong rules for discarding predictors in lasso-type problemsRobert Tibshirani, Jacob Bien, Jerome Friedman, et al.
Pageof 3