| Hierachical Bayesian models and sparsity: ℓ2-magic D Calvetti, E Somersalo, A Strang Inverse Problems 35 (3), 035003, 2019 | 53 | 2019 |
| Sparse reconstructions from few noisy data: analysis of hierarchical Bayesian models with generalized gamma hyperpriors D Calvetti, M Pragliola, E Somersalo, A Strang Inverse Problems 36 (2), 025010, 2020 | 48 | 2020 |
| Generalized relationships between characteristic path length, efficiency, clustering coefficients, and density A Strang, O Haynes, ND Cahill, DA Narayan Social Network Analysis and Mining 8, 1-6, 2018 | 34 | 2018 |
| When and where we can expect to see early warning signals in multispecies systems approaching tipping points: insights from theory AC Patterson, AG Strang, KC Abbott The American Naturalist 198 (1), E12-E26, 2021 | 20 | 2021 |
| Hierarchical ensemble Kalman methods with sparsity-promoting generalized gamma hyperpriors H Kim, D Sanz-Alonso, A Strang arXiv preprint arXiv:2205.09322, 2022 | 10 | 2022 |
| How to avoid an extinction time paradox AG Strang, KC Abbott, PJ Thomas Theoretical ecology 12, 467-487, 2019 | 10 | 2019 |
| A variational inference approach to inverse problems with gamma hyperpriors S Agrawal, H Kim, D Sanz-Alonso, A Strang SIAM/ASA Journal on Uncertainty Quantification 10 (4), 1533-1559, 2022 | 9 | 2022 |
| The network HHD: Quantifying cyclic competition in trait-performance models of tournaments A Strang, KC Abbott, PJ Thomas SIAM Review 64 (2), 360-391, 2022 | 9 | 2022 |
| Applications of the Helmholtz-Hodge decomposition to networks and random processes A Strang Case Western Reserve University, 2020 | 8 | 2020 |
| Relationships between characteristic path length, efficiency, clustering coefficients, and graph density A Strang, O Haynes, ND Cahill, DA Narayan arXiv preprint arXiv:1702.02621, 2017 | 6 | 2017 |
| Machine learning in and out of equilibrium S Adhikari, A Kabakçıoğlu, A Strang, D Yuret, M Hinczewski arXiv preprint arXiv:2306.03521, 2023 | 4 | 2023 |
| Path-following methods for Maximum a Posteriori estimators in Bayesian hierarchical models: How estimates depend on hyperparameters Z Si, Y Liu, A Strang arXiv preprint arXiv:2211.07113, 2022 | 4 | 2022 |
| Explicitly solvable continuous-time inference for partially observed Markov processes D Chen, AG Strang, AW Eckford, PJ Thomas IEEE Transactions on Signal Processing 70, 6232-6242, 2022 | 2 | 2022 |
| Similarity suppresses cyclicity: Why similar competitors form hierarchies C Cebra, A Strang SIAM Journal on Applied Mathematics 83 (5), 2027-2051, 2023 | 1 | 2023 |
| Noise source importance in linear stochastic models of biological systems that grow, shrink, wander, or persist A Strang, W Huffmyer, H Rollins, KC Abbott, PJ Thomas bioRxiv, 2022.01. 10.475598, 2022 | 1 | 2022 |
| The Almost Sure Evolution of Hierarchy Among Similar Competitors C Cebra, A Strang arXiv preprint arXiv:2402.06005, 2024 | | 2024 |
| Principal trade-off analysis A Strang, D Sewell, A Kim, K Alcedo, D Rosenbluth Information Visualization, 14738716241239018, 2022 | | 2022 |
| Machine learning in and out of equilibrium M Hinczewski, S Adhikari, A Kabakcioglu, A Strang, D Yuret APS March Meeting Abstracts 2022, F09. 006, 2022 | | 2022 |
| Solutions to the Minimum Variance Problem Using Delaunay Triangulation A Strang SIAM Journal on Discrete Mathematics 34 (4), 2510-2531, 2020 | | 2020 |
| How to avoid silent catastrophes by improving early warning signal detection AC Patterson, AG Strang, KC Abbott 2019 ESA Annual Meeting (August 11--16), 2019 | | 2019 |
Karen C. AbbottProfessor of Biology, Case Western Reserve UniversityVerified email at case.edu
