| Scalable Levy process priors for spectral kernel learning PA Jang, A Loeb, M Davidow, AG Wilson Advances in neural information processing systems 30, 2017 | 33 | 2017 |
| Dynamics of an oscillator with delay parametric excitation L Lazarus, M Davidow, R Rand International Journal of Non-Linear Mechanics 78, 66-71, 2016 | 12 | 2016 |
| Factor analysis of mixed data for anomaly detection M Davidow, DS Matteson Statistical Analysis and Data Mining: The ASA Data Science Journal 15 (4 …, 2022 | 11 | 2022 |
| Dynamics of a delay limit cycle oscillator with self-feedback L Lazarus, M Davidow, R Rand Nonlinear Dynamics 82, 481-488, 2015 | 11 | 2015 |
| Analysis of a remarkable singularity in a nonlinear DDE M Davidow, B Shayak, RH Rand Nonlinear Dynamics 90, 317-323, 2017 | 10 | 2017 |
| Periodically forced delay limit cycle oscillator L Lazarus, M Davidow, R Rand International Journal of Non-Linear Mechanics 94, 216-222, 2017 | 9 | 2017 |
| Copula quadrant similarity for anomaly scores M Davidow, D Matteson arXiv preprint arXiv:2101.02330, 2021 | 2 | 2021 |
| Scalable L\'evy Process Priors for Spectral Kernel Learning PA Jang, AE Loeb, MB Davidow, AG Wilson arXiv preprint arXiv:1802.00530, 2018 | 1 | 2018 |
| Clustering future scenarios based on predicted range maps M Davidow, TLJ Schafer, C Merow, J Che‐Castaldo, MC Düker, E Feng, ... Methods in Ecology and Evolution 14 (5), 1346-1360, 2023 | | 2023 |
| Clustering future scenarios based on extremal properties of ecological outcomes M Davidow, C Merow, D Corcoran, JP Che-Castaldo, D Matteson, ... AGU Fall Meeting Abstracts 2020, IN022-04, 2020 | | 2020 |
| Similarity Measures and Anomaly Detection for Mixed Data MB Davidow Cornell University, 2020 | | 2020 |
| Dynamics of a delay limit cycle oscillator with self-feedback. R Rand, L Lazarus, M Davidow Nonlinear Dynamics 82, 2015 | | 2015 |
| Parametric Excitation of a Delay Limit Cycle Oscillator by Periodically Varying the Duration of the Delay L Lazarus, M Davidow, R Rand | | |
