This $149,989 Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) program will support research to develop statistical models and inference methods for analyzing random point processes. The research will provide tools for analyzing time series of point process data, with applications in fields such as national security, economics, neuroscience, and geosciences. Key activities include developing parameter estimation procedures, implementing them in computer programs, and studying the theoretical and small sample properties of these methods, as well as applying them to real-world data problems. The award also includes educational components, such as supervising graduate and undergraduate students and developing data science courses. The project will be led by the University of Wisconsin-Milwaukee from July 2024 through June 2027.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $150.0k | 6/17/24 |