Trevor Hastie - Concepedia

Author

Trevor Hastie

Also Known As

Arnold, L. Eugene, Balasubramanian Narasimhan, Geisler, Stephanie, Grawe, Anissa P., Hastie, T., Hastie, Trevor, Hastie, Trevor J., J. Hastie, Trevor, Melissa Harris, Michael E. Miller

652

Publications

288.3K

Citations

140

H-Index

370

Concepts

All Affiliations

Stanford University AT&T (United States)Stanford Medicine University of Toronto

About

Trevor Hastie is an author at Stanford University specializing in engineering, statistics, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	77	118	97.4K
2	Management	8	8	8.2K
3	Health Sciences	7	7	953
4	Business	5	5	1.1K
5	Education	1	1	15

Trevor Hastie

258

Publications

186.2K

Citations

117

H-Index

Page 1

	Year	Citations
Regularization and Variable Selection Via the Elastic Net Hui Zou, Trevor Hastie Journal of the Royal Statistical Society Series B (Statistical Methodology)	2005	20.1K
Regularization Paths for Generalized Linear Models via Coordinate Descent Jerome H. Friedman, Trevor Hastie, Robert Tibshirani Journal of Statistical Software EngineeringMachine LearningRegularization PathHigh-dimensional MethodConvex Optimization	2010	16.3K
Regularization Paths for Generalized Linear Models via Coordinate Descent. Jerome H. Friedman, Trevor Hastie, Rob Tibshirani PubMed EngineeringMachine LearningHigh-dimensional MethodConvex OptimizationConvex Penalties	2010	14K
Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications Thérese Sørlie, Charles M. Perou, Robert Tibshirani, Proceedings of the National Academy of Sciences	2001	10.8K
Least angle regression Bradley Efron, Trevor Hastie, Iain M. Johnstone, The Annals of Statistics EngineeringMachine LearningFeature SelectionRegression AnalysisLars Modification	2004	9.4K
Generalized Additive Models. Richard A. Brown, Trevor Hastie, Robert Tibshirani Biometrics Statistical ModelingStatisticsGeneralized Additive ModelsStatistical Inference	1991	8.3K
Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors) Jerome H. Friedman, Trevor Hastie, Robert Tibshirani The Annals of Statistics EngineeringMachine LearningText MiningClassification MethodData Science	2000	6.9K
A statistical explanation of MaxEnt for ecologists Jane Elith, Steven J. Phillips, Trevor Hastie, Diversity and Distributions Spatial EcologyMaxent ModelBiodiversityEngineeringTheoretical Ecology	2010	6.4K
Sparse inverse covariance estimation with the graphical lasso Jerome H. Friedman, Trevor Hastie, Robert Tibshirani Biostatistics	2007	6.4K
A working guide to boosted regression trees Jane Elith, John R. Leathwick, Trevor Hastie Journal of Animal Ecology	2008	6.3K

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