Moment varieties of Gaussian mixtures C Améndola, JC Faugère, B Sturmfels Algebraic Statistics 7 (1), 14-28, 2016 | 73 | 2016 |
Invariant theory and scaling algorithms for maximum likelihood estimation C Améndola, K Kohn, P Reichenbach, A Seigal SIAM Journal on Applied Algebra and Geometry 5 (2), 304-337, 2021 | 49 | 2021 |
The maximum likelihood degree of toric varieties C Améndola, N Bliss, I Burke, CR Gibbons, M Helmer, S Hoşten, ED Nash, ... Journal of Symbolic Computation 92, 222-242, 2019 | 45 | 2019 |
Algebraic identifiability of Gaussian mixtures C Améndola, K Ranestad, B Sturmfels International mathematics research notices 2018 (21), 6556-6580, 2018 | 43 | 2018 |
Maximum number of modes of Gaussian mixtures C Améndola, A Engström, C Haase Information and Inference: A Journal of the IMA, 2019 | 38 | 2019 |
Maximum likelihood estimates for Gaussian mixtures are transcendental C Améndola, M Drton, B Sturmfels International Conference on Mathematical Aspects of Computer and Information …, 2015 | 31 | 2015 |
Varieties of signature tensors C Améndola, P Friz, B Sturmfels Forum of Mathematics, Sigma 7, e10, 2019 | 28 | 2019 |
Discrete Gaussian distributions via theta functions D Agostini, C Améndola SIAM Journal on Applied Algebra and Geometry 3 (1), 1-30, 2019 | 27 | 2019 |
Conditional independence in max-linear Bayesian networks C Améndola, C Klüppelberg, S Lauritzen, NM Tran The Annals of Applied Probability 32 (1), 1-45, 2022 | 26 | 2022 |
The maximum likelihood degree of linear spaces of symmetric matrices C Améndola, L Gustafsson, K Kohn, O Marigliano, A Seigal arXiv preprint arXiv:2012.00198, 2020 | 25 | 2020 |
Solving parameterized polynomial systems with decomposable projections C Améndola, J Lindberg, JI Rodriguez arXiv preprint arXiv:1612.08807, 2016 | 23 | 2016 |
Structure learning for cyclic linear causal models C Améndola, P Dettling, M Drton, F Onori, J Wu Conference on Uncertainty in Artificial Intelligence, 999-1008, 2020 | 21 | 2020 |
Maximum likelihood estimation of toric Fano varieties C Améndola, D Kosta, K Kubjas Algebraic Statistics 11 (1), 5-30, 2020 | 11 | 2020 |
Toric invariant theory for maximum likelihood estimation in log-linear models C Améndola, K Kohn, P Reichenbach, A Seigal Algebraic Statistics 12 (2), 187-211, 2021 | 10 | 2021 |
Third-order moment varieties of linear non-Gaussian graphical models C Améndola, M Drton, A Grosdos, R Homs, E Robeva Information and Inference: A Journal of the IMA 12 (3), 1405-1436, 2023 | 8* | 2023 |
Markov equivalence of max-linear Bayesian networks C Améndola, B Hollering, S Sullivant, N Tran Uncertainty in Artificial Intelligence, 1746-1755, 2021 | 8 | 2021 |
Computing tropical varieties in Macaulay2 C Améndola, K Kohn, S Lamboglia, D Maclagan, B Smith, J Sommars, ... arXiv preprint arXiv:1710.10651, 2017 | 8 | 2017 |
Algebraic Statistics of Gaussian Mixtures C Améndola TU Berlin, 2017 | 8* | 2017 |
Estimating Gaussian mixtures using sparse polynomial moment systems J Lindberg, C Améndola, JI Rodriguez arXiv preprint arXiv:2106.15675, 2021 | 7 | 2021 |
Moment identifiability of homoscedastic Gaussian mixtures D Agostini, C Améndola, K Ranestad Foundations of Computational Mathematics 21, 695-724, 2021 | 6 | 2021 |