罗伯特·蒂布希拉尼

罗伯特·蒂布希拉尼（英語：Robert Tibshirani，生于1956年7月10日）FRS FRSC，是斯坦福大学统计和生物医学数据科学系的教授。從1985年至1998年他担任多伦多大学教授。他在工作中开发了用于分析复杂数据集的统计工具，最近的研究领域是基因组学和蛋白质组学。

他最著名的贡献是Lasso方法，该方法提出了在回归和相关问题中使用L1惩罚項，以及微阵列的显着性分析^[1]。

著作编辑

T. Hastie and R. Tibshirani, Generalized Additive Models, Chapman and Hall, 1990.
B. Efron and R. Tibshirani, An Introduction to the Bootstrap, Chapman and Hall, 1993
T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning: Prediction, Inference and Data Mining, Second Edition, Springer Verlag, 2009 ^[3] (available for free from the co-author's website).
G. James, D. Witten, T. Hastie, R. Tibshirani, An Introduction to Statistical Learning with Applications in R, Springer Verlag, 2013 ^[4] (available for free from the co-author's website).
T. Hastie, R. Tibshirani, M. Wainwright, Statistical Learning with Sparsity: the Lasso and Generalizations, CRC Press, 2015 ^[5] (available for free from the co-author's website).

^ ^1.0 ^1.1 ^1.2 罗伯特·蒂布希拉尼在數學譜系計畫的資料。
^ Witten, Daniela. A penalized matrix decomposition, and its applications (PDF). stanford.edu (PhD论文) (Stanford University). 2010 [2018-08-28]. OCLC 667187274. （原始内容 (PDF)于2022-03-09）.
^ Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome H. . [15 June 2012]. （原始内容存档于10 November 2009）.
^ James, Gareth; Witten, Daniela; Hastie, Trevor; Tibshirani, Robert. An Introduction to Statistical Learning with Applications in R. [3 July 2016]. （原始内容于2019-06-23）.
^ Hastie, Trevor; Tibshirani, Robert; Wainwright, Martin. Statistical Learning with Sparsity: the Lasso and Generalizations. [3 July 2016]. （原始内容于2021-10-22）.