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SUMMARY:Efficient adaptive uniformisation for the analysis of biochemical 
 reaction networks
DTSTART;VALUE=DATE-TIME:20180712T050000Z
DTEND;VALUE=DATE-TIME:20180712T052000Z
DTSTAMP;VALUE=DATE-TIME:20210228T011829Z
UID:indico-contribution-326@conferences.maths.unsw.edu.au
DESCRIPTION:Speakers: Casper Beentjes (University of Oxford)\nA common mod
 elling technique to include stochastic effects in biochemical reaction net
 works is the use of discrete-state continuous time Markov chains. Analytic
  results for the resulting systems are rare and one often has to rely on s
 tochastic simulation approaches to quantitatively probe their dynamics. Ma
 ny conventional simulation methods\, however\, become prohibitively slow i
 f the system is characterised by multiple different time scales\, i.e. for
  stiff systems.\n\nIn this contribution we consider the application of ada
 ptive uniformisation techniques which can significantly reduce the number 
 of simulation trajectories needed to estimate summary statistics of the re
 action network. By making the uniformisation rate adaptive\, rather than f
 ixed\,  this method can efficiently deal with multiple scales in the dynam
 ics of reaction networks.\n\nhttps://conferences.maths.unsw.edu.au/event/2
 /contributions/326/
LOCATION:University of Sydney New Law School/--102
URL:https://conferences.maths.unsw.edu.au/event/2/contributions/326/
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