Project Grant 2210891
Award Date
7/1/22
Completion Date
6/30/25
Dollars Obligated
$300K
Federal Agency
Division of Mathematical Sciences
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Davis, CA, USA
Similar Awards
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 $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...
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 (NSF) Division of Mathematical Sciences awarded a $200,000 Project Grant to The University Corporation, a non-profit organization located in Northridge, CA. The grant, funded under the NSF's Mathematical and Physical Sciences program (CFDA 47.049), focuses on developing new statistical modeling and data resampling methods to address challenges posed by incomplete, missing, and fragmented observations in large datasets. Key objectives include: Advancing...
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 National Science Foundation awarded $150,000 to Regents of the University of California at Riverside under the Mathematical and Physical Sciences program (CFDA 47.049) from July 1, 2023 to June 30, 2026. The Project Grant funding will support research to develop new statistical methodologies and deep learning techniques for uniformly estimating causal effects of continuous treatments using large observational health data sets. Specifically, the university will design neural network...
This $146,738 federal Project Grant award from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences grant program (CFDA 47.049) supports collaborative research on statistical inference methods for multivariate and functional time series data. The primary awardee, The Washington University, will develop a new unified framework using sample splitting and self-normalization techniques to enable robust statistical inference for time...
The University of California, Davis was awarded a $200,894 Project Grant from the National Science Foundation under the Mathematical and Physical Sciences program (CFDA 47.049). The grant will fund research into Combinatorial Probability and Representation Theory from July 2021 through June 2024. As part of its mission to strengthen the nation's scientific enterprise, the NSF Mathematical and Physical Sciences program supports research aimed at increasing fundamental scientific knowledge and...
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program provides $170,000 to Michigan State University (MSU) for a 3-year project titled "Next-Generation Functional Data Analysis via Machine Learning". The project aims to develop advanced machine learning and artificial intelligence methodologies tailored for the analysis of complex, high-dimensional functional data that are becoming more prevalent across various...