CAREER: Statistical foundations of particle tracking and trajectory inference — NSF Award to New York University (NY, $269,975)
Many problems in human microbiology, astronomy, high-energy physics, fluid dynamics, and aeronautics involve large collections of moving "particles" with complicated dynamics. Learning how these systems work requires developing statistical procedures for estimating these dynamics on the basis of noisy observations. The
| Award title | CAREER: Statistical foundations of particle tracking and trajectory inference |
|---|---|
| Award ID | 2339829 |
| Awardee | New York University |
| City | NEW YORK |
| State | NY |
| Amount obligated | $269,975 |
| Principal investigator | Jonathan Niles-Weed |
| Program | STATISTICS |
| Start date | 04/01/2024 |
| Abstract | Many problems in human microbiology, astronomy, high-energy physics, fluid dynamics, and aeronautics involve large collections of moving "particles" with complicated dynamics. Learning how these systems work requires developing statistical procedures for estimating these dynamics on the basis of noisy observations. The goal of this research is to develop scalable, practical, and reliable methods for this task, with a particular focus on developing statistical theory for applications in cosmology |
| Source | NSF Awards |
$799/mo
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