Typical results of using the WSINDy algorithm for example problem L.3 in Table 2 with the library presented in Table 3, , and 50 points in time.

<p>The prediction error and <b>TPR</b> of the learned model approximately 0.035 and 0.8, respectively.</p>

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Bibliographic Details
Main Author:	Rainey Lyons (22806496) (author)
Other Authors:	Vanja Dukic (785165) (author), David M. Bortz (22806499) (author)
Published:	2025
Subjects:	Genetics Ecology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> characteristics paper presents extensions helps fine tune computationally intensive process several standard models series histogram data method &# 8217 model structured populations wsindy </ p structured models populations change model directly validation method particular focus mortality rates key role heterogeneous across fitting ingredients boundary processes based method also learning additionally incorporate
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