NSF award 2515903 · University of California-Los Angeles

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

Final report due

28 September 2029

in 1,076 days · The award ends on 31 May 2029.

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No-cost extension notice21 May 2029in 946 days
award ending 2029-05-31 · Research.gov
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Final report due28 Sep 2029in 1076 days
award ending 2029-05-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Sep 2029in 1076 days
award ending 2029-05-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Sep 2029in 1076 days
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PAPPG 24-1: “financially closed out 120 days after their expiration date”

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So the final report is due by 28 September 2029.

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Award card

Award number: 2515903
Period of support: 1 Jun 2026 – 31 May 2029
Amount: $139,995
Awardee: University of California-Los Angeles, LOS Angeles, CA
Program: STATISTICS
Directorate: MPS

Abstract

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 misleading conclusions. These issues — and the limited ability to…

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