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SUMMARY:The MOP - Particles without Resampling - Maskell\, S (University o
 f Liverpool)
DTSTART:20140515T100000Z
DTEND:20140515T110000Z
UID:TALK52655@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:Under certain assumptions\, it is demonstrated that it is poss
 ible to derive a particle filter for arbitrarily high dimensions where the
  weights on the particles are all equal and there is therefore never any n
 eed for resampling. Relaxing these assumptions (eg by using ideas from "pa
 rticle flow" implemented using piecewise linear approximations to a non-li
 near function) results in particle filters that only require very infreque
 nt resampling. Results are demonstrated on non-linear non-Gaussian problem
 s.\n
LOCATION:Seminar Room 1\, Newton Institute
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