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UID:20250802T093522EDT-6977ZWvRRN@132.216.98.100
DTSTAMP:20250802T133522Z
DESCRIPTION:CRM-ISM Probability Seminar\n\nTitle: Stochastically modeled re
 action networks\n\nAbstract: A reaction network is a graphical configurati
 on that can describe many biochemical systems with interactions between sp
 ecies (molecules). If the abundances of the species involved in a reaction
  network are small\, then the randomness inherent in the molecular interac
 tions is important to the system dynamics\, and the abundances are modeled
  stochastically as a jump-by-jump fashion continuous-time Markov chain. In
  this talk\, we begin with basic modeling aspects of the stochastic proces
 ses associated with a reaction network. Then we overview classical and rec
 ent issues in this literature\, which include stability\, mixing times\, c
 omparisons to deterministic modeling\, martingale properties\, and multi-s
 caling model reduction.\n\nLink: https://mcgill.zoom.us/j/87596694672?pwd=
 VG5WZjllUFdQVWxjN29rV2RMZDFlUT09\n\nMeeting ID: 875 9669 4672\n\nPasscode:
  problab\n
DTSTART:20210407T170000Z
DTEND:20210407T180000Z
SUMMARY:Jinsu Kim (UC Irvine)
URL:/mathstat/channels/event/jinsu-kim-uc-irvine-32789
 9
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