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METHOD:PUBLISH
X-WR-CALNAME:Biomedical Mathematics Group
X-ORIGINAL-URL:https://www.ibs.re.kr/bimag
X-WR-CALDESC:Events for Biomedical Mathematics Group
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BEGIN:VTIMEZONE
TZID:Asia/Seoul
BEGIN:STANDARD
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:20210101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20221021T103000
DTEND;TZID=Asia/Seoul:20221021T110000
DTSTAMP:20220916T014503Z
CREATED:20220916T014503Z
LAST-MODIFIED:20220916T014503Z
UID:6575-1666348200-1666350000@www.ibs.re.kr
SUMMARY:A Brief Introduction to Stochastic Reaction Networks
DESCRIPTION:Abstract: TBA
URL:https://www.ibs.re.kr/bimag/event/2022-10-21-colloquium-2/
LOCATION:ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium)\, (pw: 1234)
CATEGORIES:Biomedical Mathematics Online Colloquium
ATTACH;FMTTYPE=image/jpeg:https://www.ibs.re.kr/bimag/cms/wp-content/uploads/2022/08/DAnderson2018-250x250-1.jpg
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20221021T110000
DTEND;TZID=Asia/Seoul:20221021T120000
DTSTAMP:20220916T014258Z
CREATED:20220825T011824Z
LAST-MODIFIED:20220916T014258Z
UID:6478-1666350000-1666353600@www.ibs.re.kr
SUMMARY:Stationary distributions and positive recurrence of chemical reaction networks
DESCRIPTION:Abstract: \nCellular\, chemical\, and population processes are all often represented via networks that describe the interactions between the different population types (typically called the “species”). If the counts of the species are low\, then these systems are often modeled as continuous-time Markov chains on the d-dimensional integer lattice (with d being the number of species)\, with transition rates determined by stochastic mass-action kinetics. A natural (broad) mathematical question is: how do the qualitative properties of the dynamical system relate to the graph properties of the network? For example\, it is of particular interest to know which graph properties imply that the stochastically modeled reaction network is positive recurrent\, and therefore admits a stationary distribution. After a general introduction to the models of interest\, I will discuss this problem\, giving some of the known results. I will also discuss recent progress on the Chemical Recurrence Conjecture\, which has been open for decades\, which is the following: if each connected component of the network is strongly connected\, then the associated stochastic model is positive recurrent.
URL:https://www.ibs.re.kr/bimag/event/2022-10-21-colloquium/
LOCATION:ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium)\, (pw: 1234)
CATEGORIES:Biomedical Mathematics Online Colloquium
ATTACH;FMTTYPE=image/jpeg:https://www.ibs.re.kr/bimag/cms/wp-content/uploads/2022/08/DAnderson2018-250x250-1.jpg
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
END:VEVENT
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