Trevor Hastie - Publications

Affiliations: 
Stanford University, Palo Alto, CA 
Area:
Statistics and Biostatistics (HRP)

107 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any innacuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2018 Powers S, Qian J, Jung K, Schuler A, Shah NH, Hastie T, Tibshirani R. Some methods for heterogeneous treatment effect estimation in high dimensions. Statistics in Medicine. PMID 29508417 DOI: 10.1002/sim.7623  0.6
2016 Ioannidis NM, Rothstein JH, Pejaver V, Middha S, McDonnell SK, Baheti S, Musolf A, Li Q, Holzinger E, Karyadi D, Cannon-Albright LA, Teerlink CC, Stanford JL, Isaacs WB, Xu J, ... ... Hastie T, et al. REVEL: an Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants. American Journal of Human Genetics. PMID 27666373 DOI: 10.1016/j.ajhg.2016.08.016  1
2016 Hughey JJ, Hastie T, Butte AJ. ZeitZeiger: supervised learning for high-dimensional data from an oscillatory system. Nucleic Acids Research. PMID 26819407 DOI: 10.1093/nar/gkw030  1
2015 Powers S, Hastie T, Tibshirani R. CUSTOMIZED TRAINING WITH AN APPLICATION TO MASS SPECTROMETRIC IMAGING OF CANCER TISSUE. The Annals of Applied Statistics. 9: 1709-1725. PMID 30370000 DOI: 10.1214/15-AOAS866  0.6
2015 Fithian W, Elith J, Hastie T, Keith DA. Bias correction in species distribution models: pooling survey and collection data for multiple species. Methods in Ecology and Evolution. 6: 424-438. PMID 27840673 DOI: 10.1111/2041-210X.12242  0.4
2015 Janson L, Fithian W, Hastie TJ. Effective degrees of freedom: a flawed metaphor. Biometrika. 102: 479-485. PMID 26977114 DOI: 10.1093/biomet/asv019  1
2015 Lim M, Hastie T. Learning interactions via hierarchical group-lasso regularization. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 24: 627-654. PMID 26759522 DOI: 10.1080/10618600.2014.938812  1
2015 Ku JP, Hicks JL, Hastie T, Leskovec J, Ré C, Delp SL. The Mobilize Center: an NIH big data to knowledge center to advance human movement research and improve mobility. Journal of the American Medical Informatics Association : Jamia. PMID 26272077 DOI: 10.1093/jamia/ocv071  1
2015 Lee JD, Hastie TJ. Learning the Structure of Mixed Graphical Models. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 24: 230-253. PMID 26085782 DOI: 10.1080/10618600.2014.900500  1
2015 Guo X, Jo VY, Mills AM, Zhu SX, Lee CH, Espinosa I, Nucci MR, Varma S, Forgó E, Hastie T, Anderson S, Ganjoo K, Beck AH, West RB, Fletcher CD, et al. Clinically Relevant Molecular Subtypes in Leiomyosarcoma. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research. PMID 25896974 DOI: 10.1158/1078-0432.CCR-14-3141  1
2015 Goldstein BA, Assimes T, Winkelmayer WC, Hastie T. Detecting clinically meaningful biomarkers with repeated measurements: An illustration with electronic health records. Biometrics. 71: 478-86. PMID 25652566 DOI: 10.1111/biom.12283  1
2015 Powers S, Hastie T, Tibshirani R. Customized training with an application to mass spectrometric imaging of cancer tissue Annals of Applied Statistics. 9: 1709-1725. DOI: 10.1214/15-AOAS866  1
2015 Renner IW, Elith J, Baddeley A, Fithian W, Hastie T, Phillips SJ, Popovic G, Warton DI. Point process models for presence-only analysis Methods in Ecology and Evolution. 6: 366-379. DOI: 10.1111/2041-210X.12352  1
2015 Warton DI, Shipley B, Hastie T. CATS regression - a model-based approach to studying trait-based community assembly Methods in Ecology and Evolution. 6: 389-398. DOI: 10.1111/2041-210X.12280  1
2015 Fithian W, Elith J, Hastie T, Keith DA. Bias correction in species distribution models: Pooling survey and collection data for multiple species Methods in Ecology and Evolution. 6: 424-438. DOI: 10.1111/2041-210X.12242  1
2015 Hastie T, Mazumder R, Lee JD, Zadeh R. Matrix completion and low-rank SVD via fast alternating least squares Journal of Machine Learning Research. 16: 3367-3402.  1
2015 Paskov HS, Mitchell JC, Hastie TJ. Fast algorithms for learning with long N-grams via suffix tree based matrix multiplication Uncertainty in Artificial Intelligence - Proceedings of the 31st Conference, Uai 2015. 672-681.  1
2014 Wager S, Hastie T, Efron B. Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife. Journal of Machine Learning Research : Jmlr. 15: 1625-1651. PMID 25580094  1
2014 Fithian W, Hastie T. LOCAL CASE-CONTROL SAMPLING: EFFICIENT SUBSAMPLING IN IMBALANCED DATA SETS. Annals of Statistics. 42: 1693-1724. PMID 25492979 DOI: 10.1214/14-AOS1220  1
2014 Viladomat J, Mazumder R, McInturff A, McCauley DJ, Hastie T. Assessing the significance of global and local correlations under spatial autocorrelation: a nonparametric approach. Biometrics. 70: 409-18. PMID 24571609 DOI: 10.1111/biom.12139  1
2014 Wang JC, Hastie T. Boosted varying-coefficient regression models for product demand prediction Journal of Computational and Graphical Statistics. 23: 361-382. DOI: 10.1080/10618600.2013.778777  1
2014 Paskov HS, Mitchell JC, Hastie TJ. An efficient algorithm for large scale compressive feature learning Journal of Machine Learning Research. 33: 760-768.  1
2013 Fithian W, Hastie T. Finite-Sample Equivalence in Statistical Models for Presence-Only Data. The Annals of Applied Statistics. 7: 1917-1939. PMID 25493106 DOI: 10.1214/13-AOAS667  1
2013 Hastie T, Fithian W. Inference from presence-only data; the ongoing controversy. Ecography. 36: 864-867. PMID 25492992 DOI: 10.1111/j.1600-0587.2013.00321.x  1
2013 Simon N, Friedman J, Hastie T, Tibshirani R. A sparse-group lasso Journal of Computational and Graphical Statistics. 22: 231-245. DOI: 10.1080/10618600.2012.681250  1
2013 Paskov HS, West R, Mitchell JC, Hastie TJ. Compressive feature learning Advances in Neural Information Processing Systems 1
2013 Lee JD, Hastie TJ. Structure learning of mixed graphical models Journal of Machine Learning Research. 31: 388-396.  1
2012 Mazumder R, Hastie T. The graphical lasso: New insights and alternatives. Electronic Journal of Statistics. 6: 2125-2149. PMID 25558297 DOI: 10.1214/12-EJS740  1
2012 Tibshirani R, Bien J, Friedman J, Hastie T, Simon N, Taylor J, Tibshirani RJ. Strong rules for discarding predictors in lasso-type problems. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 74: 245-266. PMID 25506256 DOI: 10.1111/j.1467-9868.2011.01004.x  1
2012 Mazumder R, Hastie T. Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso. Journal of Machine Learning Research : Jmlr. 13: 781-794. PMID 25392704  1
2012 Cross DS, McCarty CA, Hytopoulos E, Beggs M, Nolan N, Harrington DS, Hastie T, Tibshirani R, Tracy RP, Psaty BM, McClelland R, Tsao PS, Quertermous T. Coronary risk assessment among intermediate risk patients using a clinical and biomarker based algorithm developed and validated in two population cohorts. Current Medical Research and Opinion. 28: 1819-30. PMID 23092312 DOI: 10.1185/03007995.2012.742878  1
2012 Mell M, White JJ, Hill BB, Hastie T, Dalman RL. No increased mortality with early aortic aneurysm disease. Journal of Vascular Surgery. 56: 1246-51. PMID 22832264 DOI: 10.1016/j.jvs.2012.04.023  1
2011 Simon N, Friedman J, Hastie T, Tibshirani R. Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent. Journal of Statistical Software. 39: 1-13. PMID 27065756 DOI: 10.18637/jss.v039.i05  1
2011 Mazumder R, Friedman JH, Hastie T. SparseNet: Coordinate Descent With Nonconvex Penalties. Journal of the American Statistical Association. 106: 1125-1138. PMID 25580042 DOI: 10.1198/jasa.2011.tm09738  1
2011 Nowak G, Hastie T, Pollack JR, Tibshirani R. A fused lasso latent feature model for analyzing multi-sample aCGH data. Biostatistics (Oxford, England). 12: 776-91. PMID 21642389 DOI: 10.1093/biostatistics/kxr012  1
2011 Clemmensen L, Hastie T, Witten D, Ersboll B. Sparse discriminant analysis Technometrics. 53: 406-413. DOI: 10.1198/TECH.2011.08118  1
2011 Elith J, Phillips SJ, Hastie T, Dudík M, Chee YE, Yates CJ. A statistical explanation of MaxEnt for ecologists Diversity and Distributions. 17: 43-57. DOI: 10.1111/j.1472-4642.2010.00725.x  1
2010 Mazumder R, Hastie T, Tibshirani R. Spectral Regularization Algorithms for Learning Large Incomplete Matrices. Journal of Machine Learning Research : Jmlr. 11: 2287-2322. PMID 21552465  1
2010 Friedman J, Hastie T, Tibshirani R. Regularization Paths for Generalized Linear Models via Coordinate Descent. Journal of Statistical Software. 33: 1-22. PMID 20808728  1
2010 Shen-Orr SS, Tibshirani R, Khatri P, Bodian DL, Staedtler F, Perry NM, Hastie T, Sarwal MM, Davis MM, Butte AJ. Cell type-specific gene expression differences in complex tissues. Nature Methods. 7: 287-9. PMID 20208531 DOI: 10.1038/nmeth.1439  1
2010 Suthram S, Dudley JT, Chiang AP, Chen R, Hastie TJ, Butte AJ. Network-based elucidation of human disease similarities reveals common functional modules enriched for pluripotent drug targets. Plos Computational Biology. 6: e1000662. PMID 20140234 DOI: 10.1371/journal.pcbi.1000662  1
2010 Beck AH, Lee CH, Witten DM, Gleason BC, Edris B, Espinosa I, Zhu S, Li R, Montgomery KD, Marinelli RJ, Tibshirani R, Hastie T, Jablons DM, Rubin BP, Fletcher CD, et al. Discovery of molecular subtypes in leiomyosarcoma through integrative molecular profiling. Oncogene. 29: 845-54. PMID 19901961 DOI: 10.1038/onc.2009.381  1
2010 Zhu M, Hastie TJ. Letters to the editor Journal of the American Statistical Association. 105: 880. DOI: 10.1198/jasa.2010.tm09295  1
2010 Greenacre M, Hastie T. Dynamic visualization of statistical learning in the context of high-dimensional textual data Journal of Web Semantics. 8: 163-168. DOI: 10.1016/j.websem.2010.03.007  1
2009 Witten DM, Tibshirani R, Hastie T. A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. Biostatistics (Oxford, England). 10: 515-34. PMID 19377034 DOI: 10.1093/biostatistics/kxp008  1
2009 Wu TT, Chen YF, Hastie T, Sobel E, Lange K. Genome-wide association analysis by lasso penalized logistic regression. Bioinformatics (Oxford, England). 25: 714-21. PMID 19176549 DOI: 10.1093/bioinformatics/btp041  1
2009 Ward G, Hastie T, Barry S, Elith J, Leathwick JR. Presence-only data and the em algorithm. Biometrics. 65: 554-63. PMID 18759851 DOI: 10.1111/j.1541-0420.2008.01116.x  1
2009 Witten DM, Hastie T, Tibshirani R. Discussion Journal of the American Statistical Association. 104: 698-699. DOI: 10.1198/jasa.2009.0143  1
2009 Li P, Hastie TJ. A unified near-optimal estimator for dimension reduction in l α (0 < α ≥ 2) using stable random projections Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference 1
2009 Li P, Church KW, Hastie TJ. One sketch for all: Theory and application of Conditional Random Sampling Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 953-960.  1
2008 Zou H, Zhu J, Hastie T. NEW MULTICATEGORY BOOSTING ALGORITHMS BASED ON MULTICATEGORY FISHER-CONSISTENT LOSSES. The Annals of Applied Statistics. 2: 1290-1306. PMID 27347277 DOI: 10.1214/08-AOAS198  1
2008 Tutt A, Wang A, Rowland C, Gillett C, Lau K, Chew K, Dai H, Kwok S, Ryder K, Shu H, Springall R, Cane P, McCallie B, Kam-Morgan L, Anderson S, ... ... Hastie T, et al. Risk estimation of distant metastasis in node-negative, estrogen receptor-positive breast cancer patients using an RT-PCR based prognostic expression signature. Bmc Cancer. 8: 339. PMID 19025599 DOI: 10.1186/1471-2407-8-339  1
2008 Nuyten DS, Hastie T, Chi JT, Chang HY, van de Vijver MJ. Combining biological gene expression signatures in predicting outcome in breast cancer: An alternative to supervised classification. European Journal of Cancer (Oxford, England : 1990). 44: 2319-29. PMID 18715778 DOI: 10.1016/j.ejca.2008.07.015  1
2008 Elith J, Leathwick JR, Hastie T. A working guide to boosted regression trees Journal of Animal Ecology. 77: 802-813. PMID 18397250 DOI: 10.1111/j.1365-2656.2008.01390.x  1
2008 Jensen KC, Turbin DA, Leung S, Miller MA, Johnson K, Norris B, Hastie T, McKinney S, Nielsen TO, Huntsman DG, Gilks CB, West RB. New cutpoints to identify increased HER2 copy number: analysis of a large, population-based cohort with long-term follow-up. Breast Cancer Research and Treatment. 112: 453-9. PMID 18193353 DOI: 10.1007/s10549-007-9887-y  1
2008 Friedman J, Hastie T, Tibshirani R. Sparse inverse covariance estimation with the graphical lasso. Biostatistics (Oxford, England). 9: 432-41. PMID 18079126 DOI: 10.1093/biostatistics/kxm045  1
2008 Rødningen OK, Børresen-Dale AL, Alsner J, Hastie T, Overgaard J. Radiation-induced gene expression in human subcutaneous fibroblasts is predictive of radiation-induced fibrosis. Radiotherapy and Oncology : Journal of the European Society For Therapeutic Radiology and Oncology. 86: 314-20. PMID 17963910 DOI: 10.1016/j.radonc.2007.09.013  1
2008 Park MY, Hastie T. Penalized logistic regression for detecting gene interactions. Biostatistics (Oxford, England). 9: 30-50. PMID 17429103 DOI: 10.1093/biostatistics/kxm010  1
2008 Zou H, Zhu J, Hastie T. New multicategory boosting algorithms based on multicategory fisher-consistent losses Annals of Applied Statistics. 2: 1290-1306. DOI: 10.1214/08-AOAS198  1
2008 Paul D, Bair E, Hastie T, Tibshirani R. "Preconditioning" for feature selection and regression in high-dimensional problems Annals of Statistics. 36: 1595-1618. DOI: 10.1214/009053607000000578  1
2008 Leathwick JR, Elith J, Chadderton WL, Rowe D, Hastie T. Dispersal, disturbance and the contrasting biogeographies of New Zealand's diadromous and non-diadromous fish species Journal of Biogeography. 35: 1481-1497. DOI: 10.1111/j.1365-2699.2008.01887.x  1
2008 Friedman J, Hastie T, Tibshirani R. Response to Mease and Wyner, evidence contrary to the statistical view of boosting, JMLR 9:131-156, 2008 Journal of Machine Learning Research. 9: 175-180.  1
2007 Chi JT, Rodriguez EH, Wang Z, Nuyten DS, Mukherjee S, van de Rijn M, van de Vijver MJ, Hastie T, Brown PO. Gene expression programs of human smooth muscle cells: tissue-specific differentiation and prognostic significance in breast cancers. Plos Genetics. 3: 1770-84. PMID 17907811 DOI: 10.1371/journal.pgen.0030164  1
2007 Buess M, Nuyten DS, Hastie T, Nielsen T, Pesich R, Brown PO. Characterization of heterotypic interaction effects in vitro to deconvolute global gene expression profiles in cancer. Genome Biology. 8: R191. PMID 17868458 DOI: 10.1186/gb-2007-8-9-r191  1
2007 Gerson LB, Ullah N, Hastie T, Goldstein MK. Does cancer risk affect health-related quality of life in patients with Barrett's esophagus? Gastrointestinal Endoscopy. 65: 16-25. PMID 17185075 DOI: 10.1016/j.gie.2006.05.018  1
2007 Tibshirani R, Hastie T. Outlier sums for differential gene expression analysis. Biostatistics (Oxford, England). 8: 2-8. PMID 16702229 DOI: 10.1093/biostatistics/kxl005  1
2007 Park MY, Hastie T, Tibshirani R. Averaged gene expressions for regression. Biostatistics (Oxford, England). 8: 212-27. PMID 16698769 DOI: 10.1093/biostatistics/kxl002  1
2007 Guo Y, Hastie T, Tibshirani R. Regularized linear discriminant analysis and its application in microarrays. Biostatistics (Oxford, England). 8: 86-100. PMID 16603682 DOI: 10.1093/biostatistics/kxj035  1
2007 Hastie T. Comment: Boosting algorithms: Regularization, prediction and model fitting Statistical Science. 22: 513-515. DOI: 10.1214/07-STS242A  1
2007 Efron B, Hastie T, Tibshirani R. Discussion: The dantzig selector: Statistical estimation when p is much larger than n Annals of Statistics. 35: 2358-2364. DOI: 10.1214/009053607000000433  1
2007 Zou H, Hastie T, Tibshirani R. On the "degrees of freedom" of the lasso Annals of Statistics. 35: 2173-2192. DOI: 10.1214/009053607000000127  1
2007 Park MY, Hastie T. L1-regularization path algorithm for generalized linear models Journal of the Royal Statistical Society. Series B: Statistical Methodology. 69: 659-677. DOI: 10.1111/j.1467-9868.2007.00607.x  1
2007 Li P, Church KW, Hastie TJ. Conditional random sampling: A sketch-based sampling technique for sparse data Advances in Neural Information Processing Systems. 873-880.  1
2007 Li P, Hastie TJ, Church KW. Nonlinear estimators and tail bounds for dimension reduction in l 1 using cauchy random projections Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4539: 514-529.  1
2007 Ping L, Hastie TJ, Church KW. Nonlinear estimators and tail bounds for dimension reduction in using cauchy random projections Journal of Machine Learning Research. 8: 2497-2532.  1
2007 Tishirani R, Hastie T. Margin trees for high-dimensional classification Journal of Machine Learning Research. 8: 637-652.  1
2006 Chi JT, Wang Z, Nuyten DS, Rodriguez EH, Schaner ME, Salim A, Wang Y, Kristensen GB, Helland A, Børresen-Dale AL, Giaccia A, Longaker MT, Hastie T, Yang GP, van de Vijver MJ, et al. Gene expression programs in response to hypoxia: cell type specificity and prognostic significance in human cancers. Plos Medicine. 3: e47. PMID 16417408 DOI: 10.1371/journal.pmed.0030047  1
2006 Leathwick JR, Elith J, Francis MP, Hastie T, Taylor P. Variation in demersal fish species richness in the oceans surrounding New Zealand: An analysis using boosted regression trees Marine Ecology Progress Series. 321: 267-281. DOI: 10.3354/meps321267  1
2006 Zou H, Hastie T, Tibshirani R. Sparse principal component analysis Journal of Computational and Graphical Statistics. 15: 265-286. DOI: 10.1198/106186006X113430  1
2006 Bair E, Hastie T, Paul D, Tibshirani R. Prediction by supervised principal components Journal of the American Statistical Association. 101: 119-137. DOI: 10.1198/016214505000000628  1
2006 Guisan A, Lehmann A, Ferrier S, Austin M, Overton JMC, Aspinall R, Hastie T. Making better biogeographical predictions of species' distributions Journal of Applied Ecology. 43: 386-392. DOI: 10.1111/j.1365-2664.2006.01164.x  1
2006 Leathwick JR, Elith J, Hastie T. Comparative performance of generalized additive models and multivariate adaptive regression splines for statistical modelling of species distributions Ecological Modelling. 199: 188-196. DOI: 10.1016/j.ecolmodel.2006.05.022  1
2006 Li P, Hastie TJ, Church KW. Very sparse random projections Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 2006: 287-296.  1
2006 Li P, Hastie TJ, Church KW. Improving random projections using marginal information Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4005: 635-649.  1
2005 Rødningen OK, Overgaard J, Alsner J, Hastie T, Børresen-Dale AL. Microarray analysis of the transcriptional response to single or multiple doses of ionizing radiation in human subcutaneous fibroblasts. Radiotherapy and Oncology : Journal of the European Society For Therapeutic Radiology and Oncology. 77: 231-40. PMID 16297999 DOI: 10.1016/j.radonc.2005.09.020  1
2005 Taylor Tavares AL, Jefferis GS, Koop M, Hill BC, Hastie T, Heit G, Bronte-Stewart HM. Quantitative measurements of alternating finger tapping in Parkinson's disease correlate with UPDRS motor disability and reveal the improvement in fine motor control from medication and deep brain stimulation. Movement Disorders : Official Journal of the Movement Disorder Society. 20: 1286-98. PMID 16001401 DOI: 10.1002/mds.20556  1
2005 Gerson LB, Ullah N, Hastie T, Triadafilopoulos G, Goldstein M. Patient-derived health state utilities for gastroesophageal reflux disease. The American Journal of Gastroenterology. 100: 524-33. PMID 15743346 DOI: 10.1111/j.1572-0241.2005.40588.x  1
2005 Chang HY, Nuyten DS, Sneddon JB, Hastie T, Tibshirani R, Sørlie T, Dai H, He YD, van't Veer LJ, Bartelink H, van de Rijn M, Brown PO, van de Vijver MJ. Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival. Proceedings of the National Academy of Sciences of the United States of America. 102: 3738-43. PMID 15701700 DOI: 10.1073/pnas.0409462102  1
2005 Zhu J, Hastie T. Kernel logistic regression and the import vector machine Journal of Computational and Graphical Statistics. 14: 185-205. DOI: 10.1198/106186005X25619  1
2005 Zou H, Hastie T. Regularization and variable selection via the elastic net Journal of the Royal Statistical Society. Series B: Statistical Methodology. 67: 301-320. DOI: 10.1111/j.1467-9868.2005.00503.x  1
2005 Leathwick JR, Rowe D, Richardson J, Elith J, Hastie T. Using multivariate adaptive regression splines to predict the distributions of New Zealand's freshwater diadromous fish Freshwater Biology. 50: 2034-2052. DOI: 10.1111/j.1365-2427.2005.01448.x  1
2005 Ormoneit D, Black MJ, Hastie T, Kjellström H. Representing cyclic human motion using functional analysis Image and Vision Computing. 23: 1264-1276. DOI: 10.1016/j.imavis.2005.09.004  1
2005 Zhu M, Hastie TJ, Walther G. Constrained ordination analysis with flexible response functions Ecological Modelling. 187: 524-536. DOI: 10.1016/j.ecolmodel.2005.01.049  1
2005 Beineke P, Hastie T, Manning C, Vaithyanathan S. Exploring sentiment summarization Aaai Spring Symposium - Technical Report. 12-15.  1
2005 Hastie T, Rosset S, Tibshirani R, Zhu J. The entire regularization path for the support vector machine Advances in Neural Information Processing Systems 1
2005 Rosset S, Zhu J, Zou H, Hastie T. A method for inferring label sampling mechanisms in semi-supervised learning Advances in Neural Information Processing Systems 1
2004 Tibshirani R, Hastie T, Narasimhan B, Soltys S, Shi G, Koong A, Le QT. Sample classification from protein mass spectrometry, by 'peak probability contrasts'. Bioinformatics (Oxford, England). 20: 3034-44. PMID 15226172 DOI: 10.1093/bioinformatics/bth357  1
2004 Zhu J, Hastie T. Classification of gene microarrays by penalized logistic regression. Biostatistics (Oxford, England). 5: 427-43. PMID 15208204 DOI: 10.1093/biostatistics/5.3.427  1
2004 Hastie T, Tibshirani R. Efficient quadratic regularization for expression arrays. Biostatistics (Oxford, England). 5: 329-40. PMID 15208198 DOI: 10.1093/biostatistics/5.3.329  1
2004 Romanelli P, Heit G, Hill BC, Kraus A, Hastie T, Brontë-Stewart HM. Microelectrode recording revealing a somatotopic body map in the subthalamic nucleus in humans with Parkinson disease. Journal of Neurosurgery. 100: 611-8. PMID 15070113 DOI: 10.3171/jns.2004.100.4.0611  1
2004 Efron B, Hastie T, Johnstone I, Tibshirani R, Ishwaran H, Knight K, Loubes JM, Massart P, Madigan D, Ridgeway G, Rosset S, Zhu JI, Stine RA, Turlach BA, Weisberg S. Least angle regression Annals of Statistics. 32: 407-499. DOI: 10.1214/009053604000000067  1
2004 Dominici F, McDermott A, Hastie TJ. Improved semiparametric time series models of air pollution and mortality Journal of the American Statistical Association. 99: 938-948. DOI: 10.1198/016214504000000656  1
2004 Rosset S, Zhu J, Hastie T. Boosting as a regularized path to a maximum margin classifier Journal of Machine Learning Research. 5: 941-973.  1
2003 Schaner ME, Ross DT, Ciaravino G, Sorlie T, Troyanskaya O, Diehn M, Wang YC, Duran GE, Sikic TL, Caldeira S, Skomedal H, Tu IP, Hernandez-Boussard T, Johnson SW, O'Dwyer PJ, ... ... Hastie T, et al. Gene expression patterns in ovarian carcinomas. Molecular Biology of the Cell. 14: 4376-86. PMID 12960427 DOI: 10.1091/mbc.E03-05-0279  1
2003 Sorlie T, Tibshirani R, Parker J, Hastie T, Marron JS, Nobel A, Deng S, Johnsen H, Pesich R, Geisler S, Demeter J, Perou CM, Lønning PE, Brown PO, Børresen-Dale AL, et al. Repeated observation of breast tumor subtypes in independent gene expression data sets. Proceedings of the National Academy of Sciences of the United States of America. 100: 8418-23. PMID 12829800 DOI: 10.1073/pnas.0932692100  1
2003 Hastie T, Tibshirani R, Friedman J. Note on "Comparison of model selection for regression" by Vladimir Cherkassky and Yunqian Ma. Neural Computation. 15: 1477-80. PMID 12816562 DOI: 10.1162/089976603321891765  0.6
2002 Tibshirani R, Hastie T, Narasimhan B, Chu G. Diagnosis of multiple cancer types by shrunken centroids of gene expression. Proceedings of the National Academy of Sciences of the United States of America. 99: 6567-72. PMID 12011421 DOI: 10.1073/pnas.082099299  1
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