Geometry of maximum likelihood estimation in Gaussian graphical models

13 December 2010

Papers citing "Geometry of maximum likelihood estimation in Gaussian graphical models"

45 / 45 papers shown

Title
On the maximum likelihood degree for Gaussian graphical models Carlos Améndola Rodica Andreea Dinu M. Michałek Martin Vodička 22 0 0 09 Oct 2024
Maximum likelihood thresholds of Gaussian graphical models and graphical lasso Daniel Irving Bernstein Hayden Outlaw 13 0 0 05 Dec 2023
Pseudo-likelihood Estimators for Graphical Models: Existence and Uniqueness Benjamin Roycraft B. Rajaratnam 13 0 0 27 Nov 2023
Symmetry Lie Algebras of Varieties with Applications to Algebraic Statistics Aida Maraj Arpan Pal 15 1 0 19 Sep 2023
Entropic covariance models Piotr Zwiernik 20 2 0 06 Jun 2023
Parametric and nonparametric symmetries in graphical models for extremes Frank Rottger Jane Ivy Coons Alexandros Grosdos 6 8 0 01 Jun 2023
Maximum likelihood thresholds of generic linear concentration models D. Bernstein S. Gortler Louis Theran 16 0 0 10 May 2023
Computing maximum likelihood thresholds using graph rigidity D. Bernstein Sean Dewar S. Gortler A. Nixon Meera Sitharam Louis Theran 11 5 0 20 Oct 2022
Log-concave density estimation in undirected graphical models Kaie Kubjas Olga Kuznetsova Elina Robeva Pardis Semnani Luca Sodomaco 9 1 0 10 Jun 2022
Symmetrically colored Gaussian graphical models with toric vanishing ideal Jane Ivy Coons Aida Maraj Pratik Misra Miruna-Stefana Sorea 11 5 0 29 Nov 2021
Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency E. Pavez 9 4 0 31 Oct 2021
Symmetries in Directed Gaussian Graphical Models V. Makam Philipp Reichenbach A. Seigal 11 8 0 23 Aug 2021
Maximum likelihood thresholds via graph rigidity D. Bernstein Sean Dewar S. Gortler A. Nixon Meera Sitharam Louis Theran 18 10 0 04 Aug 2021
Computing Maximum Likelihood Estimates for Gaussian Graphical Models with Macaulay2 Carlos Améndola Luis David García Puente R. Homs Olga Kuznetsova Harshit J. Motwani 18 2 0 21 Dec 2020
The Maximum Likelihood Degree of Linear Spaces of Symmetric Matrices Carlos Améndola Lukas Gustafsson Kathlén Kohn Orlando Marigliano A. Seigal 13 21 0 01 Dec 2020
Locally associated graphical models and mixed convex exponential families Steffen Lauritzen Piotr Zwiernik 13 11 0 11 Aug 2020
$Maximum likelihood degree, complete quadrics and ${\mathbb C}^$-action$ Maximum likelihood degree, complete quadrics and ${\mathbb C}^$ -action M. Michałek Leonid Monin Jaroslaw A. Wi'sniewski 18 5 0 16 Apr 2020
Gaussian Graphical Model exploration and selection in high dimension low sample size setting Thomas Lartigue Simona Bottani Stéphanie Baron O. Colliot S. Durrleman S. Allassonnière 18 6 0 11 Mar 2020
An empirical $G$ -Wishart prior for sparse high-dimensional Gaussian graphical models Chang-rui Liu Ryan Martin 13 13 0 09 Dec 2019
Typical ranks in symmetric matrix completion D. Bernstein Grigoriy Blekherman Kisun Lee 13 5 0 14 Sep 2019
Computing Elimination Ideals and Discriminants of Likelihood Equations Xiaoxian Tang T. Wolff Rukai Zhao 11 0 0 12 Oct 2018
The Maximum Likelihood Threshold of a Path Diagram Mathias Drton C. Fox Andreas Kaufl G. Pouliot 13 8 0 14 May 2018
Typical and Generic Ranks in Matrix Completion D. Bernstein Grigoriy Blekherman Rainer Sinn 10 17 0 26 Feb 2018
Adaptive Bayesian Sampling with Monte Carlo EM A. Roychowdhury S. Parthasarathy 21 1 0 06 Nov 2017
The neighborhood lattice for encoding partial correlations in a Hilbert space Arash A. Amini Bryon Aragam Qing Zhou 19 1 0 03 Nov 2017
Gaussian Graphical Models: An Algebraic and Geometric Perspective Caroline Uhler 16 36 0 13 Jul 2017
Maximum likelihood estimation in Gaussian models under total positivity Steffen Lauritzen Caroline Uhler Piotr Zwiernik 15 69 0 14 Feb 2017
Algebraic Problems in Structural Equation Modeling Mathias Drton 16 47 0 18 Dec 2016
Singularity structures and impacts on parameter estimation in finite mixtures of distributions Nhat Ho X. Nguyen 11 24 0 09 Sep 2016
A review of Gaussian Markov models for conditional independence Irene Córdoba-Sánchez C. Bielza P. Larrañaga VLM 18 0 0 23 Jun 2016
The maximum likelihood degree of mixtures of independence models J. Rodriguez Botong Wang 22 19 0 25 May 2015
Graphical Exponential Screening Zhe Liu 26 2 0 09 Mar 2015
Maximum Likelihood Estimation for Linear Gaussian Covariance Models Piotr Zwiernik Caroline Uhler Donald Richards 37 61 0 24 Aug 2014
Sharper lower and upper bounds for the gaussian rank of a graph E. Ben-David 26 8 0 18 Jun 2014
The Maximum Likelihood Threshold of a Graph Elizabeth Gross S. Sullivant 59 30 0 28 Apr 2014
Estimation of positive definite M-matrices and structure learning for attractive Gaussian Markov Random fields M. Slawski Matthias Hein 23 104 0 26 Apr 2014
The maximum likelihood degree of Fermat hypersurfaces Daniele Agostini Davide Alberelli Francesco Grande Paolo Lella 29 6 0 23 Apr 2014
Linear Estimating Equations for Exponential Families with Application to Gaussian Linear Concentration Models Peter G. M. Forbes Steffen Lauritzen 35 34 0 04 Nov 2013
Likelihood Geometry June Huh Bernd Sturmfels 47 79 0 31 May 2013
Robust estimators for non-decomposable elliptical graphical models D. Vogel David E. Tyler 38 11 0 21 Feb 2013
Groups acting on Gaussian graphical models J. Draisma S. Kuhnt Piotr Zwiernik 36 7 0 25 Jul 2012
Lattices of Graphical Gaussian Models with Symmetries H. Gehrmann 47 12 0 08 Apr 2011
High-dimensional covariance estimation based on Gaussian graphical models Shuheng Zhou Philipp Rütimann Min Xu Peter Buhlmann 82 91 0 02 Sep 2010
Trek separation for Gaussian graphical models S. Sullivant Kelli Talaska J. Draisma 122 124 0 10 Dec 2008
Algebraic geometry of Gaussian Bayesian networks S. Sullivant 169 60 0 06 Apr 2007