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UID:www.tcs.tifr.res.in/event/1481
DTSTAMP:20240920T043929Z
SUMMARY:Robust Hypothesis Testing with a Relative Entropy Tolerance
DESCRIPTION:Speaker: Malhar Ajit  Managoli (TIFR)\n\nAbstract: \nThe classi
 cal hypothesis testing problem involves\, given n samples\, to decide whet
 her they were sampled from a distribution p or distribution q. Here we con
 sider the case when the actual distributions p and q are unknown\; it is o
 nly known p is close to p_0 and q to q_0 (in KL divergence sense). We will
  find the optimal test\, optimal probability of error and the worst case d
 istribution\, for certain types of p_0\,q_0.\nBased on a paper with the sa
 me title by Bernard Levy.\n
URL:https://www.tcs.tifr.res.in/web/events/1481
DTSTART;TZID=Asia/Kolkata:20240920T160000
DTEND;TZID=Asia/Kolkata:20240920T170000
LOCATION:A-201 (STCS Seminar Room)
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