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UID:20251122T033319EST-6773TgNA2Z@132.216.98.100
DTSTAMP:20251122T083319Z
DESCRIPTION:Title: Optimal One-pass Nonparametric Estimation Under Memory C
 onstraint.\n\n\n	Abstract:\n\n\nFor nonparametric regression in the streami
 ng setting\, where data constantly flow in and require real-time analysis\
 , a main challenge is that data are cleared from the computer system once 
 processed due to limited computer memory and storage. We tackle the challe
 nge by proposing a novel one-pass estimator based on penalized orthogonal 
 basis expansions and developing a general framework to study the interplay
  between statistical efficiency and memory consumption of estimators. We s
 how that\, the proposed estimator is statistically optimal under memory co
 nstraint\, and has asymptotically minimal memory footprints among all one-
 pass estimators of the same estimation quality. Numerical studies demonstr
 ate that the proposed one-pass estimator is nearly as efficient as its non
 -streaming counterpart that has access to all historical data.\n\n\n	Speake
 r\n\n\nZhenhua Lin is a Presidential Young Professor in the Department of 
 Statistics and Data Science at National University of Singapore. He is als
 o an Affiliated Faculty in the Institute of Data Science. His research int
 erests include Functional data analysis non-Euclidean data analysis\, high
 -dimensional data analysis\, statistics under non-statistical constraints.
  He is the Associate Editor of Bernoulli Journal.\n\nhttps://blog.nus.edu.
 sg/zhenhua/\n\nɬÀï·¬ Statistics Seminar schedule: https://mcgillstat.gith
 ub.io/\n\nZoom meeting\n\nhttps://mcgill.zoom.us/j/83436686293?pwd=b0RmWml
 XRXE3OWR6NlNIcWF5d0dJQT09\n\nMeeting ID: 834 3668 6293\n\nPasscode: 12345
 \n\n\n	\n		 \n			 \n		\n	\n\n
DTSTART:20221118T203000Z
DTEND:20221118T213000Z
SUMMARY:Zhenhua Lin (National University of Singapore)
URL:/mathstat/channels/event/zhenhua-lin-national-univ
 ersity-singapore-343540
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