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SUMMARY:Nathan Gillot (University of Lorraine)
DTSTART:20240403T111500Z
DTEND:20240403T120000Z
DTSTAMP:20260422T161048Z
UID:gbgstats/48
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/gbgstats/48/
 ">Modelling of the spread of a pathogen in coniferous forests and modellin
 g for cosmological data characterization</a>\nby Nathan Gillot (University
  of Lorraine) as part of Gothenburg statistics seminar\n\nLecture held in 
 MVL14.\n\nAbstract\nAs stated in the title\, this presentation will be div
 ided into two parts. The first will deal with work on epidemiological data
  in a coniferous forest. We carried out modeling by considering probabilit
 y laws on a lattice\, used the Gibbs sampler for simulation and used two p
 arameter approximation methods for these models: pseudo-likelihood and a B
 ayesian method\, the ABC Shadow algorithm. The second part of the talk wil
 l focus on cosmological data. This time\, modeling will be done by spatial
  point processes\, simulation by the Metropolis Hastings algorithm and inf
 erence again by the ABC Shadow algorithm. The aim of this presentation is 
 to give an idea of the tools used for the modelling\, simulation and infer
 ence process for these two projects.\n
LOCATION:https://researchseminars.org/talk/gbgstats/48/
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