1 citations · 2 across the 4 of their papers we have counts for
4 papers
Path-following methods for Maximum a Posteriori estimators in Bayesian hierarchical models: How estimates depend on hyperparameters
Zilai Si, Yucong Liu, Alexander Strang
Maximum a posteriori (MAP) estimation, like all Bayesian methods, depends on prior assumptions. These assumptions are often chosen to promote specific features in the recovered est…
Hierarchical Ensemble Kalman Methods with Sparsity-Promoting Generalized Gamma Hyperpriors
Hwanwoo Kim, Daniel Sanz-Alonso, Alexander Strang
This paper introduces a computational framework to incorporate flexible regularization techniques in ensemble Kalman methods for nonlinear inverse problems. The proposed methodolog…
Similarity Suppresses Cyclicity: Why Similar Competitors Form Hierarchies
Christopher Cebra, Alexander Strang
Competitive systems can exhibit both hierarchical (transitive) and cyclic (intransitive) structures. Despite theoretical interest in cyclic competition, which offers richer dynamic…
The Network HHD: Quantifying Cyclic Competition in Trait-Performance Models of Tournaments
Alexander Strang, Karen C. Abbott, Peter J. Thomas
Competitive tournaments appear in sports, politics, population ecology, and animal behavior. All of these fields have developed methods for rating competitors and ranking them acco…