| Two sample tests for high-dimensional autocovariances C Baek, KM Gates, B Leinwand, V Pipiras Computational statistics & data analysis 153, 107067, 2021 | 9 | 2021 |
| Block dense weighted networks with augmented degree correction B Leinwand, V Pipiras Network Science 10 (3), 301-321, 2022 | 4 | 2022 |
| Detecting functional connectivity changes in fMRI data C Baek, M Gampe, B Leinwand, K Lindquist, J Hopfinger, KM Gates, ... Brain Connectivity, 2021 | 4 | 2021 |
| Characterizing Frequency-Selective Network Vulnerability for Alzheimer's Disease by Identifying Critical Harmonic Patterns B Leinwand, G Wu, V Pipiras 2020 IEEE 17th international symposium on biomedical imaging (ISBI), 1-4, 2020 | 4 | 2020 |
| Winning an election, not a popularity contest B Leinwand, P Ge, V Kulkarni, R Smith Significance 18 (4), 24-29, 2021 | 2 | 2021 |
| ACRONYM: Augmented degree corrected, Community Reticulated Organized Network Yielding Model B Leinwand, V Lyzinski arXiv preprint arXiv:2404.07462, 2024 | | 2024 |
| Augmented Degree Correction for Bipartite Networks with Applications to Recommender Systems B Leinwand, V Pipiras arXiv preprint arXiv:2311.06436, 2023 | | 2023 |
| Detecting Changes in Correlation Networks with Application to Functional Connectivity of fMRI Data C Baek, B Leinwand, KA Lindquist, SO Jeong, J Hopfinger, KM Gates, ... Psychometrika 88 (2), 636-655, 2023 | | 2023 |
| Novel Statistical Methods for Modeling Brain and Other Dense, Weighted Networks B Leinwand The University of North Carolina at Chapel Hill, 2022 | | 2022 |
| Testing equality of autocovariances of high-dimensional time series C Baek, KM Gates, B Leinwand, V Pipiras | | 2019 |
| 1.1 Frequency-Selective Network Vulnerability for Alzheimer’s Disease [1] B Leinwand | | |
