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title
Daniela Witten
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Daniela Witten
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2025-12-13 08:49:09
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Daniela Witten Home People Publications Book News W x W Home People Publications Book News W x W Scroll Statistical learning fROM complex data Ongoing Research Themes High-Dimensional Statistical Learning High-dimensional data, in which the number of features exceeds the number of observations, results in both theoretical and methodological challenges. We develop approaches to overcome these challenges by exploiting structure in the data or in the underlying model. We are particularly interested in unsupervised learning, with a focus on graphical modeling. Statistical Models for Neural Activity Recent technological advances have made it possible to simultaneously record from huge numbers of neurons. This leads to a number of questions: what is the functional connectivity among a population of neurons? can we identify functional sub-populations of neurons? how can we model...
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