Collaborative Research: Resampling bridges for complex data — NSF Award to University of Rhode Island (RI, $99,924)
This research aims to produce efficient and accurate statistical methodology that can be applied in practice without strong assumptions about data. In many industrial and scientific applications, current statistical analyses often require an adequate model for data, which can often be uncertain and practically difficul
| Award title | Collaborative Research: Resampling bridges for complex data |
|---|---|
| Award ID | 2515718 |
| Awardee | University of Rhode Island |
| City | KINGSTON |
| State | RI |
| Amount obligated | $99,924 |
| Principal investigator | Haihan Yu |
| Program | STATISTICS, OFFICE OF MULTIDISCIPLINARY AC |
| Start date | 08/01/2025 |
| Abstract | This research aims to produce efficient and accurate statistical methodology that can be applied in practice without strong assumptions about data. In many industrial and scientific applications, current statistical analyses often require an adequate model for data, which can often be uncertain and practically difficult to choose. This situation can be problematic, though, because any conclusions drawn from a mistaken model may be unreliable or misleading. As a remedy, a direct benefit of this p |
| Source | NSF Awards |
$799/mo
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