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Alexander Strang
Alexander Strang
Assistant Professor, UC Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Hierachical Bayesian models and sparsity: ℓ2-magic
D Calvetti, E Somersalo, A Strang
Inverse Problems 35 (3), 035003, 2019
672019
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
612020
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
392018
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
282021
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
152022
Hierarchical ensemble Kalman methods with sparsity-promoting generalized gamma hyperpriors
H Kim, D Sanz-Alonso, A Strang
arXiv preprint arXiv:2205.09322, 2022
152022
Applications of the Helmholtz-Hodge decomposition to networks and random processes
A Strang
Case Western Reserve University, 2020
152020
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
132022
How to avoid an extinction time paradox
AG Strang, KC Abbott, PJ Thomas
Theoretical Ecology 12, 467-487, 2019
132019
Machine learning in and out of equilibrium
S Adhikari, A Kabakçıoğlu, A Strang, D Yuret, M Hinczewski
arXiv preprint arXiv:2306.03521, 2023
62023
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
62017
Path-following methods for maximum a posteriori estimators in Bayesian hierarchical models: How estimates depend on hyperparameters
Z Si, Y Liu, A Strang
SIAM Journal on Optimization 34 (3), 2201-2230, 2024
52024
Decomposing force fields as flows on graphs reconstructed from stochastic trajectories
R Nartallo-Kaluarachchi, P Expert, D Beers, A Strang, ML Kringelbach, ...
arXiv preprint arXiv:2409.07479, 2024
22024
Similarity suppresses cyclicity: Why similar competitors form hierarchies
C Cebra, A Strang
SIAM Journal on Applied Mathematics 83 (5), 2027-2051, 2023
22023
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, 2023
22023
Principal trade-off analysis
A Strang, D Sewell, A Kim, K Alcedo, D Rosenbluth
Information Visualization 23 (3), 258-271, 2024
12024
The Almost Sure Evolution of Hierarchy Among Similar Competitors
C Cebra, A Strang
arXiv preprint arXiv:2402.06005, 2024
12024
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
12022
Shared-endpoint correlations and hierarchy in random flows on graphs
J Richland, A Strang
Results in Applied Mathematics 26, 100549, 2025
2025
A Theoretical Review of Area Production Rates as Test Statistics for Detecting Nonequilibrium Dynamics in Ornstein-Uhlenbeck Processes
A Strang
arXiv preprint arXiv:2411.07613, 2024
2024
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