NSF award 2602581 · University of Missouri-Columbia

Bayesian Model Selection and Model Combination Using Novel Developments of Stein's Unbiased Risk Estimator

Final report due

28 November 2028

in 772 days · The award ends on 31 July 2028.

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PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Jul 2028in 642 days
award ending 2028-07-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due28 Nov 2028in 772 days
award ending 2028-07-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Nov 2028in 772 days
award ending 2028-07-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Nov 2028in 772 days
award ending 2028-07-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 November 2028.

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Award card

Award number: 2602581
Period of support: 1 Jan 2026 – 31 Jul 2028
Amount: $240,000
Awardee: University of Missouri-Columbia, Columbia, MO
Program: STATISTICS
Directorate: MPS

Abstract

Statistical models — probabilistic descriptions of the processes that give rise to observed data — are an integral component of modern science across various disciplines, enabling researchers to learn from the data they collect and make predictions about future events. This research addresses the important challenges of model selection and model combination within the Bayesian statistical framework. Model selection…

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