Robert Tibshirani

Robert Tibshirani is a person.

• See: Lasso Algorithm, Generalized Additive Model.

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References

• Professional Home Page: http://www-stat.stanford.edu/~tibs/
• Google Scholar Author Page: http://scholar.google.ca/citations?user=ZpG_cJwAAAAJ
• DBLP Author Page: http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/t/Tibshirani:Robert.html

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 & Tibshirani, 2005) ⇒ Trevor Hastie, and Robert Tibshirani. (2005). “Discriminant Adaptive Nearest Neighbor Classification.” In: Proceedings of KDD-2005 Conference.
• (Tibshirani et al., 2005) ⇒ Robert Tibshirani, Michael Saunders, Saharon Rosset, Ji Zhu, and Keith Knight. (2005). “Sparsity and Smoothness via the Fused Lasso.” In: Journal of the Royal Statistical Society (Series B), 67(1).

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).

1999

• (Tibshirani & Knight, 1999) ⇒ Robert Tibshirani, and Kevin Knight. (1999). “The covariance inflation criterion for adaptive model selection.” In: Journal of the Royal Statistical Society B, vol. 61.
• (Tibshirani et al., 1999) ⇒ Robert Tibshirani, Trevor Hastie, M. Eisen, D. Ross, D. Botstein, and Peter F. Brown. (1999). “Clustering Methods for the Analysis of DNA Microarray Data.” Technical Report, Department of Statistics, Stanford University.

1996

• (Tibshirani, 1996) ⇒ Robert Tibshirani. (1996). "Regression Shrinkage and Selection via the Lasso.” In: Journal of the Royal Statistical Society, Series B, 58(1).
• (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).

1993

• (Efron & Tibshirani, 1993) ⇒ Bradley Efron, and Robert Tibshirani. (1993). “An Ïntroduction to the Bootstrap." New York: Chapman and Hall.

1991

• (Efron & Tibshirani, 1991) ⇒ Bradley Efron, and Robert Tibshirani. (1991). “Statistical Data Analysis in the Computer Age.” In: Science, 253(5018). 10.1126/science.253.5018.390

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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