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  1. Daniela Witten is a professor of statistics and biostatistics, and the Dorothy Gilford Endowed Chair, at University of Washington. Her research focuses largely on statistical machine learning techniques for the analysis of complex, messy, and large-scale data, with an emphasis on unsupervised learning.

  2. The cluster graphical lasso for improved estimation of Gaussian graphical models. Comput. Stat. Data Anal. 85: 23-36 ( 2015) [c2] Maxim Grechkin, Maryam Fazel, Daniela M. Witten, Su-In Lee: Pathway Graphical Lasso. AAAI 2015: 2617-2623. 2014.

  3. 8 de jul. de 2018 · Daniela Witten, a University of Washington professor of statistics and biostatistics, has been named a 2018 Simons Investigator in Mathematical Modeling of Living Systems by the Simons Foundation’s Division of Mathematics and Physical Sciences and Division of Life Sciences. The program awards $100,000 per year over a five-year period to ...

  4. Daniela Witten is a professor of statistics and biostatistics, and the Dorothy Gilford Endowed Chair, at the University of Washington. Her research focuses largely on statistical machine learning techniques for the analysis of complex, messy, and large-scale data, with an emphasis on unsupervised learning.

  5. Department of Statistics B-323, Padelford Hall, Box 354322, Seattle WA 98195-4322 . Department of Biostatistics Room 332, Hans Rosling Center, Box 351617, Seattle WA 98195-1617

  6. Thu, 08/11/2022 - 12:00. Daniela Witten, professor of biostatistics and statistics at University of Washington and the Dorothy Gilford Endowed Chair in Mathematical Statistics, has received the prestigious 2022 Presidents’ Award from the Committee of Presidents of Statistical Societies (COPSS). Daniela Witten.

  7. Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani. ( 255 ) R$320,51. An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to ...