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SUMMARY:Giulio Cuniberti (Politecnico di Torino)
DTSTART:20260312T163000Z
DTEND:20260312T170000Z
DTSTAMP:20260421T124657Z
UID:MoRN/140
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MoRN/140/">S
 tochastic ordering tools for reaction network models</a>\nby Giulio Cunibe
 rti (Politecnico di Torino) as part of Seminar on the Mathematics of React
 ion Networks\n\n\nAbstract\nStochastic reaction networks are mathematical 
 models with a wide range of applications in biochemistry\, ecology\, and e
 pidemiology\, and are often complex to analyze. Except for some special ca
 ses\, it is generally difficult to predict how the abundances of all consi
 dered species evolve over time. A possible approach to address this issue 
 is to develop tools to compare the model under study with a similar one wh
 ose behavior is better understood. The main contribution of our work is to
  provide direct and computable conditions that can be used to ensure the e
 xistence of an ordered coupling between two stochastic reaction networks a
 nd to identify which parameter changes in a given model lead to an increas
 e or decrease in the count of certain species. We also make an algorithm a
 vailable that implements our theory and we illustrate it with several appl
 ications. This is joint work with Daniele Cappelletti and Paola Siri.\n
LOCATION:https://researchseminars.org/talk/MoRN/140/
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