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Modeling and Inverse Problems in the Presence of Uncertainty
book

Modeling and Inverse Problems in the Presence of Uncertainty

by H. T. Banks, Shuhua Hu, W. Clayton Thompson
April 2014
Intermediate to advanced content levelIntermediate to advanced
405 pages
13h
English
Chapman and Hall/CRC
Content preview from Modeling and Inverse Problems in the Presence of Uncertainty
Chapter 5
Estimation of Probability Measures
Using Aggregate Population Data
5.1 Motivation
In the mathematical modeling of physical and biological systems, situations
often arise where some facet of the underlying dynamics (in the form of a
parameter) is not constant but rather is distributed probabilistically within
the system or across the population under study. While traditional inverse
problems (as discussed in Chapter 3) involve the estimation, given a set of
data/observations, of a fixed set of parameters contained within some finite
dimensional admissible set, models with distr ibuted para meters require the
estimation of a probability measure
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Publisher Resources

ISBN: 9781482206432