BEGIN:VCALENDAR
VERSION:2.0
X-WR-CALNAME;VALUE=TEXT:Statistics Colloquium: Nancy Reid (University of Toronto)
PRODID:-//Harvard events data//EN
BEGIN:VEVENT
UID:event_1413689_0
SUMMARY:Statistics Colloquium: Nancy Reid (University of Toronto)
DESCRIPTION:<h3>	<drupal-media data-entity-type="media" data-entity-uuid="a63ac416-03fd-489a-aefb-f7200498b902" data-align="left" alt="Headshot of Nancy Reid" data-view-mode="hwp_small"></drupal-media><u>Title:</u></h3><p>	Likelihood theory for high-dimensional inference</p><h3>	<u>Abstract:</u></h3><p>	In this talk we consider to what extent classical methods of inference based on the likelihood function can be extended to high-dimensional settings, and what impact this may have for practice. In particular we will discuss whether or not methods for correcting likelihood inference to adjust for nuisance parameters can be useful. This is based on joint work with H. Battey and with Y. Tang.</p>
LOCATION:Zoom - please contact emilie_campanelli@fas.harvard.edu for more information
STATUS:CONFIRMED
DTSTART:20211122T170000Z
DTEND:20211122T180000Z
END:VEVENT
END:VCALENDAR