Project Grant 2515470
- 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...
- 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...
- The National Science Foundation (NSF) awarded a $122,184 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the Regents of the University of California, Berkeley to develop innovative exploratory data analysis tools for non-Euclidean and functional data objects. The key products to be delivered include new data depth notions to robustly quantify the centrality of complex, high-dimensional data points, and associated visualization and outlier detection methods....
- 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 Regents of the University of California, doing business as the University of California, Berkeley, was awarded a $249,563 Project Grant from the National Science Foundation under the Computer and Information Science and Engineering program. The grant will fund a three-year collaborative research project from July 2021 to June 2024 to develop graphical modeling techniques for multivariate functional data. The Computer and Information Science and Engineering program supports...
- This $160,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports fundamental and applied research on scaling limits and random dynamic enhancements of statistical mechanical systems. The research aims to study phenomena such as the random scaled dynamics of random walkers, the time scale of convergence to equilibrium in randomly evolving energy landscapes, and scaled counter trajectories in random-turn games. The...
- The National Science Foundation (NSF) awarded a $599,337 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to The Regents of the University of California, doing business as the University of California, Berkeley. The award supports research to investigate Bayesian estimation and constraint satisfaction problems, with a focus on determining the minimum number of observations needed to efficiently infer hidden quantities using powerful algorithmic...
- 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...
- 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...
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) Federal Grant Program provides $175,000 in funding to The Regents of the University of California, doing business as the University of California, Berkeley (UC Berkeley), from August 15, 2025 through July 31, 2028. The award supports research to develop advanced statistical modeling techniques for analyzing complex data, with a focus on addressing key challenges in nonparametric regression. The project aims to create new methods in areas such as shape-constrained multi-index convex regression and Total Generalized Variation (TGV) regularization for regression and density estimation problems. This research is intended to enhance the ability to interpret complex information, with broad applications across scientific fields. The award will also contribute to training the next generation of statisticians and data scientists.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $175.0k | 8/14/25 |