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Parameter Estimation for Dynamic Biological Models, Meeting dates: May 19-21, 2014

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opic: Parameter Estimation for Dynamic Biological Models


Meeting dates: May 19-21, 2014


Location: NIMBioS at the University of Tennessee, Knoxville


Ariel Cintron-Arias, Mathematics and Statistics, East Tennessee State Univ.

Marisa Eisenberg, Epidemiology and Mathematics, Univ. of Michigan

Paul Hurtado, Mathematical Biosciences Inst., Aquatic Ecology Laboratory, The Ohio State Univ.

Objectives: Modeling biological data requires powerful mathematical and statistical tools and techniques. This tutorial is for biologists interested in doing statistics with more complex non-linear models of their data and for mathematicians interested in learning how to apply their modeling skills to the unique demands of real dynamic biological data. Methods for parameter estimation that will be taught include maximum likelihood and ordinary least squares. Additional tools of model identifiability and sensitivity analysis will be covered. Through a mixture of introductory instruction and hands-on computer-based learning, participants will learn software and tools they can use for biological data. Familiarity with simple differential equation models or difference equation models is a prerequisite.


Descriptive Flyer (pdf)


Application deadline: January 31, 2014.

Participation in NIMBioS tutorials is by application only. Individuals with a strong interest in the topic are encouraged to apply, and successful applicants will be notified within two weeks after the application deadline. If needed, financial support for travel, meals, and lodging is available for tutorial attendees.



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