Standout Papers

Regression Shrinkage and Selection Via the Lasso 1996 2026 2006 2016 28.7k
  1. Regression Shrinkage and Selection Via the Lasso (1996)
    Robert Tibshirani Journal of the Royal Statistical Society Series B (Statistical Methodology)
  2. The Elements of Statistical Learning (2001)
    Trevor Hastie, J. Friedman et al. Springer series in statistics
  3. The Elements of Statistical Learning (2009)
    Trevor Hastie, Robert Tibshirani et al. Springer series in statistics
  4. Regularization Paths for Generalized Linear Models via Coordinate Descent (2010)
    Jerome H. Friedman, Trevor Hastie et al. Journal of Statistical Software
  5. Significance analysis of microarrays applied to the ionizing radiation response (2001)
    Robert Tibshirani, Gilbert Chu et al. Proceedings of the National Academy of Sciences
  6. The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2013)
    Trevor Hastie, Robert Tibshirani et al. CERN Document Server (European Organization for Nuclear Research)
  7. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications (2001)
    Thérese Sørlie, Charles M. Perou et al. Proceedings of the National Academy of Sciences
  8. Statistical significance for genomewide studies (2003)
    John D. Storey, Robert Tibshirani Proceedings of the National Academy of Sciences
  9. Generalized Additive Models. (1991)
    Richard A. Brown, Trevor Hastie et al. Biometrics
  10. Least angle regression (2004)
    Bradley Efron, Trevor Hastie et al. The Annals of Statistics
  11. Repeated observation of breast tumor subtypes in independent gene expression data sets (2003)
    Thérese Sørlie, Robert Tibshirani et al. Proceedings of the National Academy of Sciences
  12. Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors) (2000)
    Jerome H. Friedman, Trevor Hastie et al. The Annals of Statistics
  13. THE LASSO METHOD FOR VARIABLE SELECTION IN THE COX MODEL (1997)
    Robert Tibshirani Statistics in Medicine
  14. Missing value estimation methods for DNA microarrays (2001)
    Olga G. Troyanskaya, Michael Cantor et al. Bioinformatics
  15. Generalized Additive Models (1986)
    Trevor Hastie, Robert Tibshirani Statistical Science
  16. Regression Shrinkage and Selection via The Lasso: A Retrospective (2011)
    Robert Tibshirani Journal of the Royal Statistical Society Series B (Statistical Methodology)
  17. Diagnosis of multiple cancer types by shrunken centroids of gene expression (2002)
    Robert Tibshirani, Trevor Hastie et al. Proceedings of the National Academy of Sciences
  18. Sparse Principal Component Analysis (2006)
    Hui Zou, Trevor Hastie et al. Journal of Computational and Graphical Statistics
  19. An Introduction to Statistical Learning: with Applications in R (2018)
    Gareth James, Daniela Witten et al. CERN Document Server (European Organization for Nuclear Research)
  20. Sparsity and Smoothness Via the Fused Lasso (2004)
    Robert Tibshirani, Michael A. Saunders et al. Journal of the Royal Statistical Society Series B (Statistical Methodology)
  21. An Introduction to the Bootstrap (1995)
    Scott D. Grimshaw, Bradley Efron et al. Technometrics
  22. Varying-Coefficient Models (1993)
    Trevor Hastie, Robert Tibshirani Journal of the Royal Statistical Society Series B (Statistical Methodology)
  23. Empirical Bayes Analysis of a Microarray Experiment (2001)
    Bradley Efron, Robert Tibshirani et al. Journal of the American Statistical Association
  24. Pathwise coordinate optimization (2007)
    Jerome H. Friedman, Trevor Hastie et al. The Annals of Applied Statistics
  25. Generalized additive models for medical research (1995)
    Trevor Hastie, Robert Tibshirani Statistical Methods in Medical Research
  26. An Introduction to the Bootstrap. (1994)
    Alan Kimber, Robert Tibshirani et al. Journal of the Royal Statistical Society Series D (The Statistician)
  27. Improvements on Cross-Validation: The 632+ Bootstrap Method (1997)
    Bradley Efron, Robert Tibshirani Journal of the American Statistical Association
  28. Statistical Data Analysis in the Computer Age (1991)
    Bradley Efron, Robert Tibshirani Science
  29. Gene expression profiling identifies clinically relevant subtypes of prostate cancer (2004)
    Jacques Lapointe, Chunde Li et al. Proceedings of the National Academy of Sciences
  30. Increasing value and reducing waste in research design, conduct, and analysis (2014)
    John P. A. Ioannidis, Sander Greenland et al. The Lancet
  31. A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis (2009)
    Daniela Witten, Robert Tibshirani et al. Biostatistics
  32. Microarray analysis reveals a major direct role of DNA copy number alteration in the transcriptional program of human breast tumors (2002)
    Jonathan R. Pollack, Thérese Sørlie et al. Proceedings of the National Academy of Sciences
  33. A Sparse-Group Lasso (2012)
    Noah Simon, Jerome H. Friedman et al. Journal of Computational and Graphical Statistics
  34. Association between Cellular-Telephone Calls and Motor Vehicle Collisions (1997)
    Donald A. Redelmeier, Robert Tibshirani New England Journal of Medicine
  35. Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival (2005)
    Howard Y. Chang, Dimitry S.A. Nuyten et al. Proceedings of the National Academy of Sciences
  36. Use of Gene-Expression Profiling to Identify Prognostic Subclasses in Adult Acute Myeloid Leukemia (2004)
    Lars Bullinger, Konstanze Döhner et al. New England Journal of Medicine
  37. Classification by pairwise coupling (1998)
    Trevor Hastie, Robert Tibshirani The Annals of Statistics
  38. An Introduction to the Bootstrap. (1995)
    Paul Marriott, B. Efron et al. Journal of the Royal Statistical Society Series A (Statistics in Society)
  39. Linear Smoothers and Additive Models (1989)
    Andreas Buja, Trevor Hastie et al. The Annals of Statistics
  40. An Introduction to the Bootstrap. (1994)
    Jeffrey S. Simonoff, Bradley Efron et al. Journal of the American Statistical Association
  41. Generalized Additive Models: Some Applications (1987)
    Trevor Hastie, Robert Tibshirani Journal of the American Statistical Association
  42. Precision and functional specificity in mRNA decay (2002)
    Yulei Wang, Chih Long Liu et al. Proceedings of the National Academy of Sciences
  43. On testing the significance of sets of genes (2007)
    Bradley Efron, Robert Tibshirani The Annals of Applied Statistics
  44. On the “degrees of freedom” of the lasso (2007)
    Hui Zou, Trevor Hastie et al. The Annals of Statistics
  45. Flexible Discriminant Analysis by Optimal Scoring (1994)
    Trevor Hastie, Robert Tibshirani et al. Journal of the American Statistical Association
  46. Penalized Discriminant Analysis (1995)
    Trevor Hastie, Andreas Buja et al. The Annals of Statistics
  47. Spectral Regularization Algorithms for Learning Large Incomplete Matrices. (2010)
    Rahul Mazumder, Trevor Hastie et al. PubMed
  48. Systems analysis of sex differences reveals an immunosuppressive role for testosterone in the response to influenza vaccination (2013)
    David Furman, Boris P. Hejblum et al. Proceedings of the National Academy of Sciences
  49. Autoantibody Epitope Spreading in the Pre-Clinical Phase Predicts Progression to Rheumatoid Arthritis (2012)
    Jeremy Sokolove, Kevin D. Deane et al. PLoS ONE
  50. A significance test for the lasso (2014)
    Richard Lockhart, Jonathan Taylor et al. The Annals of Statistics
  51. Cross-Validation: What Does It Estimate and How Well Does It Do It? (2023)
    Stephen Bates, Trevor Hastie et al. Journal of the American Statistical Association

Immediate Impact

12 by Nobel laureates 35 from Science/Nature 102 standout
Sub-graph 1 of 22

Citing Papers

A view on drug resistance in cancer
2019 StandoutNature
Comprehensive Integration of Single-Cell Data
2019 Standout
2 intermediate papers

Works of Robert Tibshirani being referenced

A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis
2009 Standout
Statistical significance for genomewide studies
2003 Standout
and 3 more

Author Peers

Author Last Decade Papers Cites
Robert Tibshirani 46625 24081 26631 380 181.1k
Trevor Hastie 29682 18864 24188 272 152.2k
Jerome H. Friedman 14482 12811 27492 126 121.1k
Leo Breiman 13370 7521 33402 91 136.3k
Donald B. Rubin 5406 52268 21131 384 184.2k
Douglas G. Altman 30005 12107 6247 632 585.5k
Geoffrey E. Hinton 12238 1256 68735 197 191.0k
Albert-Ĺaszló Barabási 31998 868 7512 328 116.6k
Li Zhu 18796 3363 1755 4.7k 136.3k
Eric S. Lander 140597 1231 4396 394 214.1k
Vladimir Vapnik 12869 2746 36800 69 107.3k

All Works

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