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Tibshirani is a prolific author of scientific works on various topics in applied statistics, including statistical learning, data mining, statistical computing, and bioinformatics. He along with his collaborators has authored about 250 scientific articles.
Robert Tibshirani ( Niagara Falls, Ontario 10 de julio de 1956) es un profesor en los departamentos de Estadística y Estudios de la Salud y Políticas Públicas de la Universidad de Stanford. Previo a esto, fue profesor en la University of Toronto de 1985 hasta 1998.
Robert Tibshirani's main interests are in applied statistics, biostatistics, and data mining. He is co-author of the books Generalized Additive Models (with T. Hastie), An Introduction to the Bootstrap (with B. Efron), and Elements of Statistical Learning (with T. Hastie and J. Friedman).
Bio. Robert Tibshirani's main interests are in applied statistics, biostatistics, and data mining. He is co-author of the books "Generalized Additive Models" (with Trevor Hastie, Stanford), "An Introduction to the Bootstrap" (with Brad Efron, Stanford), and "Elements of Statistical Learning" (with Trevor Hastie and Jerry Friedman, Stanford).
17252 *. 2001. Significance analysis of microarrays applied to the ionizing radiation response. VG Tusher, R Tibshirani, G Chu. Proceedings of the National Academy of Sciences 98 (9), 5116-5121. , 2001. 14538. 2001. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling.
3 de jan. de 2019 · ROBERT JOHN TIBSHIRANI. Professor of Biomedical Data Science and of Statistics. University Address. Department of Statistics. Born: July 10, 1956, Niagara Falls, Ontario, Canada 390 Jane Stanford Way Stanford University Stanford, CA 94305 Citizenship: U.S. Citizen Phone: (650) 725-5989 Fax: (650) 725-8977 Email: tibs@stanford.edu. Education.
His current research focuses on problems in biology and genomics, medicine, and industry. With collaborator Balasubramanian Narasimhan, he also develops software packages for genomics and proteomics. Dr. Tibshirani's main interests are in applied statistics, biostatistics, and data mining.
