This Project Grant award of $160,000 from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports collaborative research at North Carolina State University (NC State) on "Partial Priors, Regularization, and Valid & Efficient Probabilistic Structure Learning." The research aims to develop new statistical methods for reliable uncertainty quantification in high-dimensional structure learning problems that are ubiquitous across the...
North Carolina State University received a $320,000 Project Grant award from the National Science Foundation under the Mathematical and Physical Sciences program (CFDA 47.049) for the period of September 1, 2023 through August 31, 2026. The university will develop Fractional Ridge Regression methodology and associated statistical software to improve both prediction and interpretation of large data set analyses. This will enhance understanding and use of massive data in business, science, and...
This $337,985 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports the development of innovative methods for risk-sensitive statistical learning at Duke University. The research aims to advance decision-making processes in critical fields like medicine, finance, and robotics by incorporating risk assessments to improve outcomes and minimize risks, particularly for a large proportion of the population. Key focus...
This National Science Foundation project grant of $260,000 supports research at the University of North Carolina at Chapel Hill to develop statistical analysis frameworks for precision medicine incorporating abundant data features. Funded under the Mathematical and Physical Sciences program (CFDA 47.049), the three-year award running from August 2022 to July 2025 will adapt semi-parametric and reinforcement learning methods to precision medicine scenarios involving medical images, genetic...
This National Science Foundation Project Grant of $133,850 supports research at Clemson University under the Mathematical and Physical Sciences program (CFDA 47.049) from August 15, 2022 through July 31, 2025. The award will fund the development of statistical analysis frameworks to incorporate abundant data features, including medical images, genetic information, and other patient characteristics, into precision medicine decision-making tools. Specifically, the researchers will adapt...
The National Science Foundation (NSF) awarded a $100,000 Project Grant under its Integrative Activities program (CFDA 47.083) to Rutgers, The State University located in Piscataway, New Jersey. The three-year grant, awarded on August 1, 2023, will fund research to develop novel statistical inference tools and computationally efficient approaches for reinforcement learning in high-dimensional, non-identically distributed data settings. Key focus areas include statistical inference for...
The National Science Foundation (NSF) awarded a $239,338 Project Grant to North Carolina State University (NC State) under the Mathematical and Physical Sciences (CFDA 47.049) program. The grant will fund research on the structure and statistics of disordered systems, with applications ranging from social networks to cellular-level immune and neuron networks. The key objectives are to infer large-scale structure from system statistics and identify the relationship between these statistics and...
The National Science Foundation awarded a $350,000 Project Grant to the University of Washington under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) to develop novel strategies for constructing optimal statistical estimators using machine learning tools. Over a three-year period ending August 2025, the investigators will study representations of the efficient influence function that can be computed numerically to derive new asymptotically efficient estimators. They...
This $350,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will support research at North Carolina State University (NC State) to develop new mathematical frameworks and methodologies for incorporating randomness into the numerical solution of complex mathematical models. The research will focus on developing geometric principles and strategies to effectively model and solve large-scale stochastic problems that arise in...
This Project Grant award from the National Science Foundation Division of Mathematical Sciences provides $261,814 to Duke University to support research activities under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). Specifically, the award will fund the development of new methods and theories for optimal decision-making and valid statistical inference in high-dimensional settings, with a focus on applications in personalized medicine. Key deliverables include new...