This Project Grant award of $179,999 from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports comprehensive statistical and computational analyses with the goal of advancing innovative nonparametric data analysis techniques. The research aims to push the boundaries of modern nonparametric statistical inference and develop methodologies applicable to areas such as latent variable models, time series analysis, and sequential nonparametric testing. The project will enhance interconnections among statistics, machine learning, and computation, while providing training opportunities for postdoctoral fellows, graduate students, and undergraduates. The key research focus areas include nonparametric hypothesis testing, nonparametric variational inference, and nonparametric functional regression, all leveraging the synergy between Stein's identities and reproducing kernels. The award is scheduled to run from July 1, 2024 to June 30, 2027, and will be performed solely by the prime awardee, The Pennsylvania State University.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $180.0k | 6/17/24 |