Modeling the persistent volatility of asset returns. - F. Jay Breidt; Nuno Crato; Pedro J. F. de Lima (CIFEr, 1997)

Highest density gates for target tracking. - F. Jay Breidt; Alicia L. Carriquiry (IEEE Trans. Aerosp. Electron. Syst., 2000)

A Measure-Theoretic Computational Method for Inverse Sensitivity Problems I: Method and Analysis. - F. Jay Breidt; Troy D. Butler; Donald J. Estep (SIAM J. Numer. Anal., 2011)

Nonparametric Regression Using Kernel and Spline Methods. - Jean D. Opsomer; F. Jay Breidt (International Encyclopedia of Statistical Science, 2011)

Using Distributed Analytics to Enable Real-Time Exploration of Discrete Event Simulations. - Matthew Malensek; Walid Budgaga; Sangmi Lee Pallickara; Neil Harvey; F. Jay Breidt; Shrideep Pallickara (UCC, 2014)

Predictive analytics using statistical, learning, and ensemble methods to support real-time exploration of discrete event simulations. - Walid Budgaga; Matthew Malensek; Sangmi Lee Pallickara; Neil Harvey; F. Jay Breidt; Shrideep Pallickara (Future Gener. Comput. Syst., 2016)

Model-Assisted Survey Estimation with Imperfectly Matched Auxiliary Data. - F. Jay Breidt; Jean D. Opsomer; Chien-Min Huang (Predictive Econometrics and Big Data, 2018)

Distributed Orchestration of Regression Models Over Administrative Boundaries. - Menuka Warushavithana; Caleb Carlson; Saptashwa Mitra; Daniel Rammer; Mazdak Arabi; F. Jay Breidt; Sangmi Lee Pallickara; Shrideep Pallickara (BDCAT, 2021)

Containerization of Model Fitting Workloads over Spatial Datasets. - Menuka Warushavithana; Saptashwa Mitra; Mazdak Arabi; F. Jay Breidt; Sangmi Lee Pallickara; Shrideep Pallickara (IEEE BigData, 2021)

A Transfer Learning Scheme for Time Series Forecasting Using Facebook Prophet. - Menuka Warushavithana; Saptashwa Mitra; Mazdak Arabi; F. Jay Breidt; Sangmi Lee Pallickara; Shrideep Pallickara (CLUSTER, 2021)

Resource Efficient Profiling of Spatial Variability in Performance of Regression Models. - Caleb Carlson; Menuka Warushavithana; Saptashwa Mitra; Kassidy Barram; Sudipto Ghosh 001; F. Jay Breidt; Sangmi Lee Pallickara; Shrideep Pallickara (IEEE Big Data, 2022)

Alleviating Resource Requirements for Spatial Deep Learning Workloads. - Saptashwa Mitra; Menuka Warushavithana; Mazdak Arabi; F. Jay Breidt; Sangmi Lee Pallickara; Shrideep Pallickara (CCGRID, 2022)

Attention-based convolutional capsules for evapotranspiration estimation at scale. - Samuel Armstrong; Paahuni Khandelwal; Dhruv Padalia; Gabriel B. Senay; Darin Schulte; Allan A. Andales; F. Jay Breidt; Shrideep Pallickara; Sangmi Lee Pallickara (Environ. Model. Softw., 2022)

Rubiks: Rapid Explorations and Summarization over High Dimensional Spatiotemporal Datasets. - Saptashwa Mitra; Matthew Young; F. Jay Breidt; Sangmi Lee Pallickara; Shrideep Pallickara (BDCAT, 2023)

A Framework for Profiling Spatial Variability in the Performance of Classification Models. - Menuka Warushavithana; Kassidy Barram; Caleb Carlson; Saptashwa Mitra; Sudipto Ghosh 001; F. Jay Breidt; Sangmi Lee Pallickara; Shrideep Pallickara (BDCAT, 2023)