Minimax Lower Bounds

Add to your list(s) Download to your calendar using vCal

• Adityanand Guntuboyina, UC Berkeley
• Friday 30 November 2012, 16:00-17:00
• MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.

If you have a question about this talk, please contact Richard Samworth.

In estimation problems, lower bounds for the minimax risk are commonly used for assessing the quality of estimators. In this talk, a collection of such minimax lower bounds will be presented that involve a general class of dissimilarity measures between probabilities known as $f$-divergences. Connections to Kolmogorov’s notion of metric entropy will also be discussed. Further, two applications to nonparametric estimation problems involving shape restrictions will be presented.

This talk is part of the Statistics series.

This talk is included in these lists:

• All CMS events
• All Talks (aka the CURE list)
• CMS Events
• Cambridge Forum of Science and Humanities
• Cambridge Language Sciences
• Cambridge talks
• Chris Davis' list
• DPMMS Lists
• DPMMS info aggregator
• DPMMS lists
• Guy Emerson's list
• Hanchen DaDaDash
• Interested Talks
• MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB
• Machine Learning
• School of Physical Sciences
• Statistical Laboratory info aggregator
• Statistics
• Statistics Group
• bld31
• custom
• rp587

Note that ex-directory lists are not shown.