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Daniela M. Witten is an American biostatistician. She is a professor and the Dorothy Gilford Endowed Chair of Mathematical Statistics at the University of Washington. Her research investigates the use of machine learning to understand high-dimensional data.
- An Introduction to Statistical Learning
- Robert Tibshirani
- Stanford University (BS, PhD)
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
3500. 1750. 5250. 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024. Public access. View all. 78 articles. 2 articles. available. not available. Based on funding mandates....
Daniela Witten is a professor of Statistics and Biostatistics at University of Washington, and the Dorothy Gilford Endowed Chair in Mathematical Statistics. She develops statistical machine learning methods for high-dimensional data, with a focus on unsupervised learning.
Daniela Witten. Witten. she/her/hers. Professor , Biostatistics. Professor , Statistics. Dorothy Gilford Endowed Chair of Mathematical Statistics. Email. dwitten@uw.edu. About. www.danielawitten.com/full-bio. Education. PhD. Statistics. Stanford University. MS. Statistics. Stanford University. BS. Biological Sciences, Mathematics.
Daniela Witten is a leading researcher in statistics and machine learning, with publications in top journals and conferences. Browse her publications page to find out more about her work on topics such as clustering, graphical models, high-dimensional data, and genomics.
Daniela WITTEN | Cited by 14,474 | of University of Washington Seattle, Seattle (UW) | Read 86 publications | Contact Daniela WITTEN.
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