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SUMMARY:Multiscale Change Point Inference - Munk\, A (University of Goetti
 ngen)
DTSTART:20140114T113000Z
DTEND:20140114T121500Z
UID:TALK49857@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:Statistical MUltiscale Change point Estimation (SMUCE) is an i
 nference tool for estimation and confidence statements about a change-poin
 t function and its main characteristics location\, size and number of jump
 s. SMUCE detects these features on all scales in an optimal fashion. Fast 
 computation of SMUCE via dynamic programming is addressed and data from io
 n channel recordings\, photo emission spectroscopy and CGH array analysis 
 will be analyzed.\n
LOCATION:Seminar Room 1\, Newton Institute
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