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UID:20260713T232637EDT-7147uVKciM@132.216.98.100
DTSTAMP:20260714T032637Z
DESCRIPTION:Title: Regression Models for Spatial Images.\n\n\n	Abstract:\n\n
 \nThis work is motivated by a problem in describing forest nitrogen cyclin
 g\, and a consequent goal of constructing regression models for spatial im
 ages. Specifically\, I present a functional concurrent linear model (FLCM)
  with varying coefficients for two-dimensional spatial images. To address 
 overparameterization issues\, the parameter surfaces in this model are tra
 nsformed into the wavelet domain and then sparse representations are found
  using two different methods: LASSO and Bayesian variable selection. I wil
 l briefly discuss extensions to address missing data problems for colocate
 d spatial images and the modeling of tree species in landscape ecology. In
  addition I will discuss the use of the sextant in marine navigation.\n\n
 \n	Speaker\n\n\nDr. Clayton is a Professor Emeritus in the Departments of P
 lant Pathology and Statistics at the University of Wisconsin-Madison. His 
 research interests include the development of theoretical statistics as we
 ll as the development of statistical tools to address complex problems in 
 the agricultural\, environmental and biological sciences. For example\, he
  has focused on the detection and description of patterns of plant and hum
 an diseases across large geographical regions. He has applied Bayesian and
  non-Bayesian methods\, coupled with Markov Chain Monte Carlo techniques\,
  to address spatial clustering problems in epidemiology such as identifyin
 g locations where the rates of cancer might be enhanced. He has also worke
 d on association studies of variables measured across regions in which the
 re may be spatial correlation. He has collaborated with many scientists on
  a diverse array of problems\, including modeling bee movements to better 
 predict gene flow from transgenic to nontransgenic crops as well as design
 ing clinical trials to compare diets for persons with certain metabolic di
 sorders\, to name a few.\n
DTSTART:20190927T193000Z
DTEND:20190927T203000Z
LOCATION:Room 521\, McIntyre Medical Building\, CA\, QC\, Montreal\, H3G 1Y
 6\, 3655 promenade Sir William Osler
SUMMARY:Murray Clayton
URL:https://www.mcgill.ca/mathstat/channels/event/murray-clayton-300947
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