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SUMMARY:Adaptation in log-concave density estimation - Arlene  Kim (Sungsh
 in Women’s University)
DTSTART:20180213T110000Z
DTEND:20180213T120000Z
UID:TALK100654@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:The log-concave maximum likelihood estimator of a density on R
 ^d on a sample of size n is known to attain the minimax optimal rate of co
 nvergence up to a log factor when d = 2 and d = 3. In this talk\, I will r
 eview the univariate adaptation result\, and will present new results on a
 daptation properties in the multivariate setting. This is based on joint w
 ork with Oliver Feng\, Aditya Guntuboyina and Richard Samworth<br><br><br>
 <br>
LOCATION:Seminar Room 2\, Newton Institute
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