Trevor Hastie

Trevor Hastie is a person.

• See: Generalized Additive Model, Functional Data Analysis, Flexible Discriminant Analysis.

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References

• Professional Homepage: http://www.stanford.edu/~hastie/
• Google Scholar Author Page: http://scholar.google.com/citations?user=tQVe-fAAAAAJ
• DBLP Author Page:http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/h/Hastie:Trevor.html
• http://www-stat.stanford.edu/brochure/part4.html#hastie

2013

• (James et al., 2013) ⇒ Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani. (2013). “An Introduction to Statistical Learning.” Springer Publishing Company, Incorporated. ISBN:1461471370, 9781461471370

2009

• (Hastie et al., 2009) ⇒ Trevor Hastie, Robert Tibshirani, and Jerome H. Friedman. (2009). “The Elements of Statistical Learning: Data Mining, Inference, and Prediction; 2nd edition." Springer-Verlag. ISBN:0387848576

2008

• (Friedman et al., 2008) ⇒ Jerome H. Friedman, Trevor Hastie, and Robert Tibshirani. (2008). “Sparse Inverse Covariance Estimation with the Graphical Lasso.” In: Biostatistics, 9(3). doi:10.1093/biostatistics/kxm045.

2005

• (Hastie, 2005) ⇒ Trevor Hastie, (2005). http://www-stat.stanford.edu/brochure/part4.html#hastie

2004

• (Hastie et al., 2004) ⇒ Trevor Hastie, Saharon Rosset, Robert Tibshirani, and Ji Zhu. (2004). “The Entire Regularization Path for the Support Vector Machine.” In: The Journal of Machine Learning Research, 5.

2003

• (Beineke et al., 2003) ⇒ Philip Beineke, Trevor Hastie, Christopher D. Manning, and Shivakumar Vaithyanathan. (2003). “An Exploration of Sentiment Summarization.” In: Proceedings of the AAAI Spring Symposium on Exploring Attitude and Affect in Text: Theories and Applications.

2001

• (Hastie et al., 2001) ⇒ Trevor Hastie, Robert Tibshirani, and Jerome H. Friedman. (2001). “The Elements of Statistical Learning: Data Mining, Inference, and Prediction; 1st edition." Springer-Verlag. ISBN:0387952845
• (Troyanskaya et al., 2001) ⇒ Olga Troyanskaya, Michael Cantor, Gavin Sherlock, Pat Brown, Trevor Hastie, Robert Tibshirani, David Botstein, and Russ B. Altman. (2001). “Missing Value Estimation Methods for DNA Microarrays.” In: Bioinformatics, 17(6).

2000

• (Friedman et al., 2000) ⇒ Jerome Friedman, Trevor Hastie, and Robert Tibshirani. (2000). “Additive logistic regression: a statistical view of boosting. Annals of Statistics 28(2).

1996

• (Hastie & Tibshirani, 1996a) ⇒ Trevor Hastie, and Robert Tibshirani. (1996). “Discriminant Adaptive Nearest Neighbor Classification.” In: IEEE Trans. Pattern Anal. Mach. Intell, 18(6).
• (Hastie & Tibshirani, 1996b) ⇒ Trevor Hastie, and Robert Tibshirani. (1996). “Discriminant Analysis by Gaussian Mixtures.” In: Journal of the Royal Statistical Society. Series B (Methodological)

1994

• (Hastie et al., 1994) ⇒ Trevor Hastie, Robert Tibshirani, and Andreas Buja. (1994). “Flexible Discriminant Analysis by Optimal Scoring."In: Journal of the American Statistical Association, 89(428).

1990

• (Hastie & Tibshirani, 1990) ⇒ Trevor Hastie, and Robert Tibshirani. (1990). “Generalized Additive Models." CRC Press. ISBN:0412343908

1986

• (Hastie & Tibshirani, 1986) ⇒ Trevor Hastie, and Robert Tibshirani. (1986). “Generalized Additive Models (with discussion).” In: Statistical Science, 1(3).

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