|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 listsBMCS Postgraduate Symposium for Biological and Medicinal Chemists Cambridge University Science and Policy Exchange (CUSPE) FERSA (Faculty of Education Research Students' Seminars) 2010-2011
Other talksRatio measurements at ATLAS: More sensitivity to constrain Parton Distributions Curl forces and beyond Environmental diversity of Architecture Ritual, Community, and Conflict Neural mechanisms supporting the development of visual perception Modeling the Physical Multi-Phase Interactions of HNO3 Between Snow and Air on the Antarctic Plateau (Dome C) and coast (Halley)