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SUMMARY:Frédéric Lavancier (Nantes University\, France)
DTSTART:20240119T121500Z
DTEND:20240119T130000Z
DTSTAMP:20260422T155052Z
UID:gbgstats/38
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/gbgstats/38/
 ">Spatial birth-death-move processes: basic properties and inference</a>\n
 by Frédéric Lavancier (Nantes University\, France) as part of Gothenburg
  statistics seminar\n\nLecture held in MVL14.\n\nAbstract\nBirth-death-mov
 e processes are Markov models for the spatio-temporal dynamics of a system
  of particles in motion where births and deaths can occur. Natural applica
 tions include epidemiology\, individual-based modelling in ecology and spa
 tio-temporal dynamics observed in bio-imaging. We present some of the basi
 c probabilistic properties of these processes and we consider two inferenc
 e problems: First\, the non-parametric estimation of the birth and death i
 ntensity functions\; Second\, the parametric estimation of the full dynami
 cs by maximum likelihood. We finally apply our statistical method to the a
 nalysis of a real dataset representing the spatio-temporel dynamics of bio
 molecules observed in a living cell.\n
LOCATION:https://researchseminars.org/talk/gbgstats/38/
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