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PRODID:-//University of Utah Math Department//Structural Identifiability Methods for Modeling Human Disease//EN
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X-WR-CALNAME:Structural Identifiability Methods for Modeling Human Disease
X-WR-CALDESC:Structural Identifiability Methods for Modeling Human Disease at University of Utah Mathematics Department
X-WR-TIMEZONE:America/Denver
BEGIN:VEVENT
UID:20120131T160000-marisa-eisenberg@math.utah.edu
DTSTART;TZID=America/Denver:20120131T160000
DTEND;TZID=America/Denver:20120131T170000
DTSTAMP:20260922T150858Z
SUMMARY:Structural Identifiability Methods for Modeling Human Disease
DESCRIPTION:Speaker: Marisa Eisenberg\, Ohio State University\n\nConnecting models with data to yield predictive results requires a variety of parameter estimation, identifiability, and uncertainty quantification techniques. Identifiability analysis addresses the question of whether it is possible to uniquely recover the model parameters from a given set of data. …

LOCATION:JWB 335

URL:https://www.math.utah.edu/research/colloquia/2012-01-31-marisa-eisenberg/
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