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Robert Tibshirani is a Canadian-American statistician and professor at Stanford University. He is known for his work on the Lasso method, Significance Analysis of Microarrays, and other statistical tools for complex datasets.
Articles 1–20. Professor of Biomedical Data Sciences, and of Statistics, Stanford University - Cited by 507,399 - Statistics - data science - Machine Learning.
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 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.
3 de jan. de 2019 · Robert Tibshirani is a renowned statistician and biomedical data scientist who has made significant contributions to the bootstrap method and generalized additive models. He is a fellow of several academic societies, a recipient of many awards and honors, and a prolific author and editor of journals and books.
Professor of Biomedical Data Science, and Statistics. DBDS: Medical School Office Bldg Room 361. Statistics: Sequoia Hall, Room 106. Stanford, California 94305.
Robert Tibshirani. Multiomics data fusion integrates diverse data modalities, ranging from transcriptomics to proteomics, to gain a comprehensive understanding of biological systems and enhance...
