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University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Large numbers of explanatory variables

## Large numbers of explanatory variablesAdd to your list(s) Download to your calendar using vCal - Heather Battey (Imperial College London; Princeton University)
- Tuesday 10 April 2018, 11:00-12:00
- Seminar Room 2, Newton Institute.
If you have a question about this talk, please contact info@newton.ac.uk. STS - Statistical scalability The lasso and its variants are powerful methods for regression analysis when there are a small number of study individuals and a large number of potential explanatory variables. There results a single model, while there may be several simple representations equally compatible with the data. I will outline a different approach, whose aim is essentially a confidence set of models. A probabilistic assessment of the method will be given. This talk is part of the Isaac Newton Institute Seminar Series series. ## This talk is included in these lists:- All CMS events
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