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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).
Robert Tibshirani FRS FRSC (born July 10, 1956) is a professor in the Departments of Statistics and Biomedical Data Science at Stanford University. He was a professor at the University of Toronto from 1985 to 1998.
Articles 1–20. Professor of Biomedical Data Sciences, and of Statistics, Stanford University - Cited by 493,006 - Statistics - data science - Machine Learning.
Robert Tibshirani is a renowned applied statistician and biostatistician who co-authored several influential books and developed software packages for genomics and proteomics. He is a member of the National Academy of Sciences, the Royal Society of Canada, and the Institute of Mathematical Statistics, among other honors and awards.
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). His current research focuses on problems in biology and genomics, medicine, and industry.
Professor of Biomedical Data Science and of Statistics. Curriculum Vitae available Online. Bio. 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.
Robert Tibshirani. Multiomics data fusion integrates diverse data modalities, ranging from transcriptomics to proteomics, to gain a comprehensive understanding of biological systems and enhance...
