Applied Mathematics Theses and Dissertations

Theses and Dissertations for the Applied Mathematics department.

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Description:: As data structures become larger and more complex, methods of data analysis must evolve to harness the most accurate insights. Inspired by the challenges presented …
Year:: 2024
Contributor:: Winn-Nunez, Emily Taylor (creator); Crawford, Lorin (Advisor); Sandstede, Bjorn (Reader); Wong, Ian (Reader); Brown University. Department of Applied Mathematics (sponsor)
Genre:: theses
Subject:: Machine Learning; Applied mathematics; Shape; Computational biology; nonlinear model fitting; topological data analysis; Quantitative genetics; Bayesian Statistics; Computational modeling; Generative Models; Shapes; Ranking and selection (Statistics)
Collection:: Applied Mathematics; Theses and Dissertations

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