|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 listsOptoelectronics Group Sustainable Development: 11th Distinguished Lecture Series 2013 CUFAS talks
Other talksRaymond and Beverley Sackler Distinguished Lecture Security informed safety Fidgets, scoundrels and mummy's boys: performing masculinity in the Victorian House of Commons Optimisation of chiral structures for micro-scale propulsion Cambridge Public Policy Seminar: Title TBC “Of Lambs and Hedgehogs”