Statistical Approaches for Spatio-Temporal Stochastic Population Models — NSF Award to Pennsylvania State Univ University Park (PA
Mathematical models are used to describe and explore complex processes in many fields, including the study of disease dynamics in a population and the study of the wind-born spread of pollutants from power plants. Continuing advances in remote sensing and data collection have made it possible to collect data on similar
| Award title | Statistical Approaches for Spatio-Temporal Stochastic Population Models |
|---|---|
| Award ID | 2015273 |
| Awardee | Pennsylvania State Univ University Park |
| City | UNIVERSITY PARK |
| State | PA |
| Amount obligated | $210,000 |
| Principal investigator | Ephraim Hanks |
| Program | STATISTICS |
| Start date | 08/01/2020 |
| Abstract | Mathematical models are used to describe and explore complex processes in many fields, including the study of disease dynamics in a population and the study of the wind-born spread of pollutants from power plants. Continuing advances in remote sensing and data collection have made it possible to collect data on similar processes at resolutions that were impossible a generation ago. Statistics and Data Science are fields focused on the analysis of data to inform decision making and scientific inq |
| Source | NSF Awards |
$799/mo
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