Article ID Journal Published Year Pages File Type
1707581 Applied Mathematics Letters 2016 9 Pages PDF
Abstract

We discuss efficient methods for computing gradients in inverse problems for estimation of distributions for individual parameters in models where only aggregate or population level data is available. The ideas are illustrated with two examples arising in applications.

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Related Topics
Physical Sciences and Engineering Engineering Computational Mechanics
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Aggregate data and the Prohorov Metric Framework: Efficient gradient computation
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