Ryan J. Tibshirani - Concepedia

Author

Ryan J. Tibshirani

Also Known As

Hejblum, B. P., Litvinova, Maria, R. J. Tibshirani, R. Tibshirani, R.J. Tibshirani, Ryan J Tibshirani, Ryan J. Tibshirani, Ryan Tibshirani, Tibshirani, Ryan, Tibshirani, Ryan J

180

Publications

19.1K

Citations

H-Index

113

Concepts

All Affiliations

Carnegie Mellon University Stanford University University of Southern California University of California, Davis University of British Columbia

About

Ryan J. Tibshirani is an author at Carnegie Mellon University specializing in engineering, statistical inference, and statistics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	25	43	3K
2	Public Health	12	12	425
3	Medicine	5	5	167
4	Business	4	4	134
5	Management	3	3	248

Ryan J. Tibshirani

Publications

18.8K

Citations

H-Index

Page 1

	Year	Citations
Generalized Additive Models. Robert A. Koyak, T. J. Hastie, Ryan J. Tibshirani Journal of the American Statistical Association Statistical ModelingStatisticsGeneralized Additive ModelsStatistical Inference	1991	7.7K
An Introduction to the Bootstrap. S. T. Buckland, B. Efron, Ryan J. Tibshirani Biometrics Bootstrap ResamplingStatistical FoundationKnowledge DiscoveryFoundational TheoryComputer Science	1994	3.2K
Strong Rules for Discarding Predictors in Lasso-Type Problems Robert Tibshirani, Jacob Bien, Jerome H. Friedman, Journal of the Royal Statistical Society Series B (Statistical Methodology)	2011	689
Distribution-Free Predictive Inference for Regression Jing Lei, Max G’Sell, Alessandro Rinaldo, Journal of the American Statistical Association Loco InferenceDistribution-free Predictive InferenceR Package ConformalinferenceData ScienceEngineering	2017	670
A significance test for the lasso Richard Lockhart, Jonathan Taylor, Ryan J. Tibshirani, The Annals of Statistics	2014	557
The lasso problem and uniqueness Ryan J. Tibshirani Electronic Journal of Statistics Mathematical ProgrammingSparse RepresentationEngineeringMachine LearningData Science	2013	513
Surprises in high-dimensional ridgeless least squares interpolation Trevor Hastie, Andrea Montanari, Saharon Rosset, The Annals of Statistics	2022	480
Sparse estimation of a covariance matrix James P. Bien, Ryan J. Tibshirani Biometrika	2011	349
Degrees of freedom in lasso problems Ryan J. Tibshirani, Jonathan Taylor	2004	349
Exact Post-Selection Inference for Sequential Regression Procedures Ryan J. Tibshirani Journal of the American Statistical Association High-dimensional MethodForward StepwiseSequential LearningLasso Regularization PathBiostatistics	2016	347

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