Applied Mathematics Theses and Dissertations

Theses and Dissertations for the Applied Mathematics department.

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Description:: For the recent decades, statistical (machine) learning and Bayesian modelling have emerged as popular frameworks for various fields of area, regardless of academy or industry. …
Year:: 2020
Contributor:: Lee, Taehee (creator); Lawrence, Charles (Advisor); Lisiecki, Lorraine (Reader); Harrison, Matthew (Reader); Brown University. Department of Applied Mathematics (sponsor)
Genre:: theses
Subject:: Applied mathematics; Paleoclimatology; Gaussian processes; State-space models; Machine learning--Statistical methods; Bayesian Machine Learning; Paleoceanography
Collection:: Applied Mathematics; Theses and Dissertations

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