Anna Seigal
Harvard University(US)Harvard University Press(US)
Publications by Year
Research Areas
Tensor decomposition and applications, Markov Chains and Monte Carlo Methods, Matrix Theory and Algorithms, Bayesian Modeling and Causal Inference, Blind Source Separation Techniques
Most-Cited Works
- → Learning Paths from Signature Tensors(2019)25 cited
- → Eigenconfigurations of tensors(2017)20 cited
- → Ranks and symmetric ranks of cubic surfaces(2019)10 cited
- → Toric invariant theory for maximum likelihood estimation in log-linear models(2021)9 cited
- → The Maximum Likelihood Degree of Linear Spaces of Symmetric Matrices(2020)9 cited
- → Local dynamics of intersections: V. I. Arnold’s theorem revisited(2014)9 cited
- → Differential Equations for Gaussian Statistical Models with Rational Maximum Likelihood Estimator(2024)6 cited
- → Principal Components Along Quiver Representations(2022)6 cited
- → Lower bounds on the rank and symmetric rank of real tensors(2023)5 cited
- → Duality of graphical models and tensor networks(2018)5 cited