Search Results - "Améndola, Carlos"

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  1. 1

    Autocovariance varieties of moving average random fields by Améndola, Carlos, Pham, Viet Son

    Published in Journal of symbolic computation (01-03-2022)
    “…We study the autocovariance functions of moving average random fields over the integer lattice Zd from an algebraic perspective. These autocovariances are…”
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  2. 2

    Algebraic Identifiability of Gaussian Mixtures by Améndola, Carlos, Ranestad, Kristian, Sturmfels, Bernd

    Published in International mathematics research notices (05-11-2018)
    “…Abstract We prove that all moment varieties of univariate Gaussian mixtures have the expected dimension. Our approach rests on intersection theory and…”
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  3. 3

    Conditional independence in max-linear Bayesian networks by Améndola, Carlos, Klüppelberg, Claudia, Lauritzen, Steffen, Tran, Ngoc M.

    Published in The Annals of applied probability (01-02-2022)
    “…Motivated by extreme value theory, max-linear Bayesian networks have been recently introduced and studied as an alternative to linear structural equation…”
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  4. 4

    Moment Identifiability of Homoscedastic Gaussian Mixtures by Agostini, Daniele, Améndola, Carlos, Ranestad, Kristian

    Published in Foundations of computational mathematics (01-06-2021)
    “…We consider the problem of identifying a mixture of Gaussian distributions with the same unknown covariance matrix by their sequence of moments up to certain…”
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  5. 5

    VARIETIES OF SIGNATURE TENSORS by AMÉNDOLA, CARLOS, FRIZ, PETER, STURMFELS, BERND

    Published in Forum of mathematics. Sigma (2019)
    “…The signature of a parametric curve is a sequence of tensors whose entries are iterated integrals. This construction is central to the theory of rough paths in…”
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  6. 6

    Decomposing tensor spaces via path signatures by Améndola, Carlos, Galuppi, Francesco, Ríos Ortiz, Ángel David, Santarsiero, Pierpaola, Seynnaeve, Tim

    Published in Journal of pure and applied algebra (01-01-2025)
    “…The signature of a path is a sequence of tensors whose entries are iterated integrals, playing a key role in stochastic analysis and applications. The set of…”
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  7. 7

    Moment Identifiability of Homoscedastic Gaussian Mixtures by Agostini, Daniele, Améndola, Carlos, Ranestad, Kristian

    “…We consider the problem of identifying a mixture of Gaussian distributions with the same unknown covariance matrix by their sequence of moments up to certain…”
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    Journal Article
  8. 8

    Tropical combinatorics of max-linear Bayesian networks by Améndola, Carlos, Ferry, Kamillo

    Published 15-11-2024
    “…A polytrope is a tropical polyhedron that is also classically convex. We study the tropical combinatorial types of polytropes associated to weighted directed…”
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  9. 9

    Likelihood Geometry of Reflexive Polytopes by Améndola, Carlos, Oldekop, Janike

    Published 23-05-2024
    “…Alg. Stat. 15 (2024) 113-143 We study the problem of maximum likelihood (ML) estimation for statistical models defined by reflexive polytopes. Our focus is on…”
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  10. 10

    An Invitation to Tropical Alexandrov Curvature by Améndola, Carlos, Monod, Anthea

    Published 10-02-2023
    “…Alg. Stat. 14 (2023) 181-214 We study Alexandrov curvature in the tropical projective torus with respect to the tropical metric, which has been useful in…”
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  11. 11

    Likelihood Geometry of Correlation Models by Améndola, Carlos, Zwiernik, Piotr

    Published 07-12-2020
    “…Correlation matrices are standardized covariance matrices. They form an affine space of symmetric matrices defined by setting the diagonal entries to one. We…”
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  12. 12

    Maximum likelihood estimation of log-affine models using detailed-balanced reaction networks by Henriksson, Oskar, Améndola, Carlos, Rodriguez, Jose Israel, Yu, Polly Y

    Published 12-11-2024
    “…A fundamental question in the field of molecular computation is what computational tasks a biochemical system can carry out. In this work, we focus on the…”
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  13. 13

    On the maximum likelihood degree for Gaussian graphical models by Améndola, Carlos, Dinu, Rodica Andreea, Michałek, Mateusz, Vodička, Martin

    Published 09-10-2024
    “…In this paper we revisit the likelihood geometry of Gaussian graphical models. We give a detailed proof that the ML-degree behaves monotonically on induced…”
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  14. 14

    Convex Hulls of Curves: Volumes and Signatures by Améndola, Carlos, Lee, Darrick, Meroni, Chiara

    Published 23-01-2023
    “…Taking the convex hull of a curve is a natural construction in computational geometry. On the other hand, path signatures, central in stochastic analysis,…”
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  15. 15

    Discrete Gaussian distributions via theta functions by Agostini, Daniele, Améndola, Carlos

    Published 28-11-2018
    “…We study a discrete analogue of the classical multivariate Gaussian distribution. It is supported on the integer lattice and is parametrized by the Riemann…”
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  16. 16

    Differential Equations for Gaussian Statistical Models with Rational Maximum Likelihood Estimator by Améndola, Carlos, Gustafsson, Lukas, Kohn, Kathlén, Marigliano, Orlando, Seigal, Anna

    Published 24-04-2023
    “…We study multivariate Gaussian statistical models whose maximum likelihood estimator (MLE) is a rational function of the observed data. We establish a…”
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  17. 17

    Estimating Gaussian mixtures using sparse polynomial moment systems by Lindberg, Julia, Améndola, Carlos, Rodriguez, Jose Israel

    Published 29-06-2021
    “…The method of moments is a classical statistical technique for density estimation that solves a system of moment equations to estimate the parameters of an…”
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  18. 18

    Autocovariance Varieties of Moving Average Random Fields by Améndola, Carlos, Pham, Viet Son

    Published 20-03-2019
    “…We study the autocovariance functions of moving average random fields over the integer lattice $\mathbb{Z}^d$ from an algebraic perspective. These…”
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    Journal Article
  19. 19

    Third-Order Moment Varieties of Linear Non-Gaussian Graphical Models by Améndola, Carlos, Drton, Mathias, Grosdos, Alexandros, Homs, Roser, Robeva, Elina

    Published 20-12-2021
    “…In this paper we study linear non-Gaussian graphical models from the perspective of algebraic statistics. These are acyclic causal models in which each…”
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  20. 20

    Decomposing Tensor Spaces via Path Signatures by Améndola, Carlos, Galuppi, Francesco, Ortiz, Ángel David Ríos, Santarsiero, Pierpaola, Seynnaeve, Tim

    Published 22-08-2023
    “…The signature of a path is a sequence of tensors whose entries are iterated integrals, playing a key role in stochastic analysis and applications. The set of…”
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    Journal Article