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SUMMARY:Likelihood-based inference for complex data structures - Nancy Rei
 d (Toronto)
DTSTART:20090505T160000Z
DTEND:20090505T170000Z
UID:TALK13763@talks.cam.ac.uk
CONTACT:Helen Innes
DESCRIPTION:Statistical inference based on the likelihood function is well
 -established as the method of choice for a wide range of applications.   A
 s the structure of available data becomes increasingly complex\, for examp
 le due to intricate sampling schemes\, or the measurement of an extremely 
 large number of variables\, new developments in likelihood inference are n
 eeded.  I will discuss some aspects of the current research in adapting li
 kelihood inference to these settings\, with particular reference to specif
 ic application areas.\n\n
LOCATION:Wolfson Room (MR 2) Centre for Mathematical Sciences\, Wilberforc
 e Road\, Cambridge
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