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Activity Number:
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173
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Type:
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Other
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Date/Time:
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Monday, August 7, 2006 : 2:00 PM to 3:50 PM
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Sponsor:
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The ASA
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| Abstract - #307661 |
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Title:
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Identifiability and Statistical Inverse Problems for Biomedical Dynamic Systems
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Author(s):
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Hulin Wu*+
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Companies:
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University of Rochester
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Address:
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School of Medicine and Dentistry, Rochester, NY, 14642,
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Keywords:
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dynamic models ; HIV/AIDS ; identifiability ; differential equations
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Abstract:
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A vast literature on mathematical modeling of biomedical processes has appeared in the past. In many cases, a set of differential equations are proposed to describe the dynamics of biological agents or species. Although identifiability and inverse problems of dynamic models have been discussed, they mostly focus on theoretical perspective and mathematical identifiability. The Literature that actually investigates the identifiability and inverse problems with practical application perspective is sparse. In this talk, I will discuss these issues from practical application perspective. In particular, statistical identifiability and inverse problems for dynamic models will be addressed in detail. Statistical estimation methods and implementations will be illustrated carefully via simulation examples and HIV dynamic models.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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