|COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring.|
If you have a question about this talk, please contact Elena Yudovina.
In this talk I will give an introduction to high-dimensional statistics: a large and growing area of contemporary statistical research. Rather than attempting to give an overview of this vast area, I will explain what is meant by high-dimensional data and then focus on two methods (Ridge regression, and the Lasso) which have been introduced to deal with this sort of data. Many of the state of the art techniques used in high-dimensional statistics today are based on these two core methods.
This talk is part of the Statistical Laboratory Graduate Seminars series.
This talk is included in these lists:
Note that ex-directory lists are not shown.
Other listsCambridge Lovelace Hackathons Mr Keynes and the Moderns Trinity Hall Forum
Other talksState machine replication and the modern exchange Modelling the growth of laccoliths: Static and dynamic fluid-driven fracturing of adhered elastica Symposium: Microbiology Make your career matter [Cambridge]: A workshop by 80,000 hours Curl forces and beyond Neural representation of complex space