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SUMMARY:Stochastic process models of animal movement\, maximum entropy\, a
 nd approximation theory - Christen Fleming (University of Maryland\, Colle
 ge Park)
DTSTART:20230720T133000Z
DTEND:20230720T140000Z
UID:TALK201751@talks.cam.ac.uk
DESCRIPTION:I detail a class of maximum-entropy stochastic-process models 
 that contains within it all of the continuous-time stationary processes th
 at have been commonly used to model animal movement&mdash\;including Brown
 ian motion\, Ornstein-Uhlenbeck motion\, and integrated Ornstein-Uhlenbeck
  motion. Then I show how linear combinations of these maximum-entropy proc
 esses can approximate more general stationary processes by way of Pad&eacu
 te\; approximants. I end with discussion of some simpler ways that these s
 tationary processes can be generalized into more realistic non-stationary 
 processes.
LOCATION:Seminar Room 1\, Newton Institute
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