LEAPS-MPS: Frequency domain methods for high-dimensional time series — NSF Award to Southern Methodist University (TX, $177,718)
High-dimensional time series data are gathered in diverse scientific fields such as economics, social science, neuroscience, and engineering. Modern advancements in data collection technologies, techniques and strategies have led to such datasets being gathered in these fields. As an example, in neuroimaging recent tec
| Award title | LEAPS-MPS: Frequency domain methods for high-dimensional time series |
|---|---|
| Award ID | 2418371 |
| Awardee | Southern Methodist University |
| City | DALLAS |
| State | TX |
| Amount obligated | $177,718 |
| Principal investigator | Raanju Sundararajan |
| Program | LEAPS-MPS |
| Start date | 08/01/2024 |
| Abstract | High-dimensional time series data are gathered in diverse scientific fields such as economics, social science, neuroscience, and engineering. Modern advancements in data collection technologies, techniques and strategies have led to such datasets being gathered in these fields. As an example, in neuroimaging recent technological developments have given rise to brain signal data recorded across time from several hundred locations in the brain and this results in high-dimensional time series data |
| Source | NSF Awards |
$799/mo
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