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SUMMARY:Grzegorz A. Rempala (The Ohio State University)
DTSTART:20250213T163000Z
DTEND:20250213T170000Z
DTSTAMP:20260421T123741Z
UID:MoRN/113
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MoRN/113/">L
 ikelihood Functions for Individual-Level Chemical Reaction Models</a>\nby 
 Grzegorz A. Rempala (The Ohio State University) as part of Seminar on the 
 Mathematics of Reaction Networks\n\n\nAbstract\nWhen analyzing chemical re
 action systems\, it is often useful to consider the fate of individual mol
 ecules. For such systems\, one can construct an individual-level likelihoo
 d function—a statistical tool that evaluates how well a specific paramet
 ric reaction model fits empirical data. These likelihood functions are typ
 ically applied in the context of time series data representing realization
 s of reaction network trajectories. In this talk\, I will introduce the co
 ncept\, discuss its essential applications\, and explore useful approximat
 ions\, particularly in the setting of mass-transfer models. A key example 
 will be the stochastic SIR network model\, though similar constructions ca
 n be applied to enzyme kinetics and other reaction systems.\n
LOCATION:https://researchseminars.org/talk/MoRN/113/
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