Anna Seigal
About
Anna Seigal has authored 17 papers that have received a total of 90 indexed citations.
This includes 9 papers in Computational Mathematics, 6 papers in Computational Theory and Mathematics and 5 papers in Artificial Intelligence. The topics of these papers are Tensor decomposition and applications (9 papers), Markov Chains and Monte Carlo Methods (4 papers) and Bayesian Modeling and Causal Inference (3 papers). Anna Seigal is often cited by papers focused on Tensor decomposition and applications (9 papers), Markov Chains and Monte Carlo Methods (4 papers) and Bayesian Modeling and Causal Inference (3 papers) and collaborates with scholars based in United States, United Kingdom and Germany. Anna Seigal's co-authors include Bernd Sturmfels, Elina Robeva, Heather A. Harrington, Miriam Barlow and Mariano Beguerisse-Díaz and has published in prestigious journals such as Journal of The Royal Society Interface, Bulletin of the London Mathematical Society and Linear Algebra and its Applications
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