| Deep personalized glucose level forecasting using attention-based recurrent neural networks M Armandpour, B Kidd, Y Du, JZ Huang 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 21 | 2021 |
| Bayesian nonstationary and nonparametric covariance estimation for large spatial data (with discussion) B Kidd, M Katzfuss Bayesian Analysis 17 (1), 291-351, 2022 | 20 | 2022 |
| Federated learning for sparse Bayesian models with applications to electronic health records and genomics B Kidd, K Wang, Y Xu, Y Ni PACIFIC SYMPOSIUM ON BIOCOMPUTING 2023: Kohala Coast, Hawaii, USA, 3–7 …, 2022 | 6 | 2022 |
| Upper and lower bounds on the speed of a one-dimensional excited random walk E Madden, B Kidd, O Levin, J Peterson, J Smith, KM Stangl Involve, a Journal of Mathematics 12 (1), 97-115, 2018 | 2 | 2018 |
| Directed Graphs and Applications BJ Kidd | | 2022 |
| Reaching the NFL Playoffs Based on Week One Results: A Probability Model with Simulation P Boyd, B Kidd, C Vincent Rose-Hulman Undergraduate Mathematics Journal 20 (1), 1, 2019 | | 2019 |
