Carlos Améndola

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 11

Top Topics

Statistical Model

Maximum Likelihood

Top Venues

SIAM J. Appl. Algebra Geom.

J. Symb. Comput.

SIAM J. Matrix Anal. Appl.

Publications

Carlos Améndola, Lukas Gustafsson, Kathlén Kohn, Orlando Marigliano, Anna Seigal
Differential Equations for Gaussian Statistical Models with Rational Maximum Likelihood Estimator. SIAM J. Appl. Algebra Geom. 8 (3) (2024)
Carlos Améndola, Kathlén Kohn, Philipp Reichenbach, Anna Seigal
Corrigendum: Invariant Theory and Scaling Algorithms for Maximum Likelihood Estimation. SIAM J. Appl. Algebra Geom. 8 (2) (2024)
Carlos Améndola, Darrick Lee, Chiara Meroni
Convex Hulls of Curves: Volumes and Signatures. GSI (1) (2023)
Philipp Dettling, Roser Homs, Carlos Améndola, Mathias Drton, Niels Richard Hansen
Identifiability in Continuous Lyapunov Models. SIAM J. Matrix Anal. Appl. 44 (4) (2023)
Carlos Améndola, Viet Son Pham
Autocovariance varieties of moving average random fields. J. Symb. Comput. 109 (2022)
Daniele Agostini, Carlos Améndola, Kristian Ranestad
Moment Identifiability of Homoscedastic Gaussian Mixtures. Found. Comput. Math. 21 (3) (2021)
Carlos Améndola, Benjamin Hollering, Seth Sullivant, Ngoc Tran
Markov equivalence of max-linear Bayesian networks. UAI (2021)
Carlos Améndola, Kathlén Kohn, Philipp Reichenbach, Anna Seigal
Invariant Theory and Scaling Algorithms for Maximum Likelihood Estimation. SIAM J. Appl. Algebra Geom. 5 (2) (2021)
Carlos Améndola, Philipp Dettling, Mathias Drton, Federica Onori, Jun Wu
Structure Learning for Cyclic Linear Causal Models. UAI (2020)
Carlos Améndola, Nathan Bliss, Isaac Burke, Courtney R. Gibbons, Martin Helmer, Serkan Hosten, Evan D. Nash, Jose Israel Rodriguez, Daniel Smolkin
The maximum likelihood degree of toric varieties. J. Symb. Comput. 92 (2019)
Daniele Agostini, Carlos Améndola
Discrete Gaussian Distributions via Theta Functions. SIAM J. Appl. Algebra Geom. 3 (1) (2019)
Carlos Améndola, Mathias Drton, Bernd Sturmfels
Maximum Likelihood Estimates for Gaussian Mixtures Are Transcendental. MACIS (2015)