Fundamental Limits of High-Dimensional Statistical Estimation — NSF Award to Columbia University (NY, $117,910)
Many challenges facing statisticians today are related to making decisions based on and drawing conclusions from complex datasets that are quite different from datasets studied before the existence of modern computers. For instance, data collected in fields like genetics, astronomy, and finance are now often high-dimen
| Award title | Fundamental Limits of High-Dimensional Statistical Estimation |
|---|---|
| Award ID | 2413828 |
| Awardee | Columbia University |
| City | NEW YORK |
| State | NY |
| Amount obligated | $117,910 |
| Principal investigator | Cynthia Rush |
| Program | STATISTICS |
| Start date | 09/01/2024 |
| Abstract | Many challenges facing statisticians today are related to making decisions based on and drawing conclusions from complex datasets that are quite different from datasets studied before the existence of modern computers. For instance, data collected in fields like genetics, astronomy, and finance are now often high-dimensional, unstructured, multimodal, and extremely large. Therefore, a core challenge facing statisticians in today's world is to develop and analyze methods for learning from data un |
| Source | NSF Awards |
$799/mo
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