grant

Non-parametric estimation for multimodal data: From statistical theory to efficient algorithms

Organization University of California-Los AngelesLocation LOS ANGELES, United StatesPosted 1 Jun 2026Deadline 31 May 2029
NSFUS FederalResearch GrantScience FoundationCA
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Multimodal datasets, which combine sources such as medical imaging, clinical records, and genetic information, have the potential to significantly advance our understanding of complex systems and improve health outcomes. However, the heterogeneity, high dimensionality, and lack of reliable statistical tools often lead to unstable analyses or…

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Non-parametric estimation for multimodal data: From statistical theory to efficient algorithms — University of Californi | Dev Procure