Project Grant 2310450
- The University of California, Davis was awarded a three-year $275,000 Project Grant from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). The grant supports research to develop innovative methodologies and theoretical foundations for analyzing high-dimensional and non-Euclidean data commonly encountered in fields such as biology, social science, computer science, and astronomy. Key products include...
- The National Science Foundation Division of Mathematical Sciences awarded $299,997 under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) to the University of California, Davis for a three-year project grant completing June 2025. The award will support research involving the development of new statistical testing methods and deep learning techniques for functional data analysis. Specifically, the university will conduct research projects to create a general framework...
- This $169,999 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports collaborative research at the University of California, Davis (UC Davis) to advance innovative nonparametric data analysis techniques. The project aims to conduct comprehensive statistical and computational analyses to push the boundaries of modern nonparametric statistical inference, with potential applications in areas like nonparametric latent...
- This $175,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will fund research to develop new statistical and computational methods to enhance the reliability of data analysis in modern, large-scale datasets, particularly in the era of AI. The key areas of focus include: (1) analyzing the robustness of manifold and deep learning algorithms for high-dimensional, noisy, and nonlinear data; (2) developing statistical theory...
- This $270,000 federal Project Grant award was provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program. The grant supports research focused on tightening the connections between geometric and topological data analysis and statistics/machine learning. Key objectives include developing advanced theoretical tools and methodologies based on core concepts like the Euler characteristic, graph Laplacians, and heat kernel, as well as training...
- The University of California, Davis received a $200,000 Project Grant award from the National Science Foundation Division of Mathematical Sciences. The grant supports the collaborative research project "Advancing Statistical Foundations and Frontiers for and from Emerging Astronomical Data Challenges" from July 1, 2021 to June 30, 2024. The project aims to advance statistical methods and techniques to address data analysis challenges arising in astronomy, as the field generates...
- The University of California, San Diego (UCSD) received a $300,000 Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program. The grant supports the development of advanced computational and statistical methods for analyzing complex, dependent data from diverse scientific domains such as climate, economics, and neuroimaging. Key research thrusts include subsampling and resampling techniques for large datasets, robust...
- The National Science Foundation (NSF) awarded a $240,000 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program to the University of California, Davis. This 3-year award from July 1, 2025 to June 30, 2028 will support research on nonlinear functional time series analysis. The project aims to develop statistical methods and forecasting algorithms for analyzing complex data observed as functions or curves, such as yield curves used in economics. Key outcomes...
- The University of California, Davis was awarded a $500,000 Project Grant from the National Science Foundation Division of Computing and Communication Foundations. The award is part of the NSF's Computer and Information Science and Engineering program (CFDA 47.070) and will support research using K-nearest neighbors methods for functional estimation and machine learning from October 1, 2021 to September 30, 2024. Funding will allow researchers at UC Davis to advance the development and use of...
- The National Science Foundation awarded The Regents of the University of California $330,000 under the Mathematical and Physical Sciences program (CFDA 47.049) to advance theory and methodology for tree-based algorithms in high dimensions from July 2022 to June 2025. The project will analyze the generalization performance of tree-based algorithms on regression models to better understand their inductive bias for different data structures. It will also study a new framework for obtaining...
The University of California, Davis was awarded a $335,849 project grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) to develop advanced statistical methodology for analyzing complex data in metric spaces from July 1, 2023 to June 30, 2026. Specifically, UC Davis will conduct research to establish regression models, testing and estimation methods, and computational tools for statistical analysis of random objects that take values in non-Euclidean spaces, such as distributions, networks, and data on spheres or manifolds. The research aims to address challenges in analyzing emerging "big data" encountered across sciences and society that are in complex forms not amenable to traditional statistical approaches. In addition to developing theoretical foundations, UC Davis will apply the new methods to real-world data from areas like genomics, climate science, and neuroimaging. The project also includes training the next generation of data analysts and making user-friendly software implementing the statistical methods publicly available. UC Davis may issue subawards to other institutions to contribute to the research efforts.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $335.8k | 6/14/23 |