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SUMMARY:Jinsu Kim (UC Irvine)
DTSTART:20210128T160000Z
DTEND:20210128T163000Z
DTSTAMP:20260421T123832Z
UID:MoRN/9
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MoRN/9/">Ide
 ntifiability of Stochastically Modelled Reaction Networks</a>\nby Jinsu Ki
 m (UC Irvine) as part of Seminar on the Mathematics of Reaction Networks\n
 \n\nAbstract\nWhen an underlying reaction network is given for a biochemic
 al system\, the system dynamics can be modeled with various mathematical f
 rameworks such as continuous-time Markov processes. In this manuscript\, t
 he identifiability of the underlying network structure with a given stocha
 stic system dynamics is studied. It is shown that some data types related 
 to the associated stochastic dynamics can uniquely identify the underlying
  network structure as well as the system parameters. The accuracy of the p
 resented network inference is investigated when given dynamical data is ob
 tained via stochastic simulations.\n
LOCATION:https://researchseminars.org/talk/MoRN/9/
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