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University of Cambridge > Talks.cam > Trinity Mathematical Society > High-dimensional data and the Lasso
High-dimensional data and the LassoAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact . How would you try to solve a linear system of equations with more unknowns than equations? Of course, there are infinitely many solutions, and yet this is the sort of the problem statisticians face with many modern datasets, arising in genetics, imaging, finance and many other fields. What’s worse, our equations are often corrupted by noisy measurements! In this talk I will introduce a statistical method called the Lasso that has been at the centre of the huge amount of research that has gone into solving these problems. This talk is part of the Trinity Mathematical Society series. This talk is included in these lists:Note that ex-directory lists are not shown. |
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