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Locally associated graphical models and mixed convex exponential
  families
v1v2v3 (latest)

Locally associated graphical models and mixed convex exponential families

Annals of Statistics (Ann. Stat.), 2020
11 August 2020
Steffen Lauritzen
Piotr Zwiernik
ArXiv (abs)PDFHTML

Papers citing "Locally associated graphical models and mixed convex exponential families"

21 / 21 papers shown
Latent Gaussian Graphical Models with Golazo Penalty
Latent Gaussian Graphical Models with Golazo Penalty
Ignacio Echave-Sustaeta Rodríguez
Frank Rottger
150
0
0
22 Aug 2024
Graphical models for multivariate extremes
Graphical models for multivariate extremes
Sebastian Engelke
Manuel Hentschel
Michael Lalancette
Frank Rottger
202
10
0
03 Feb 2024
Entropic covariance models
Entropic covariance models
Piotr Zwiernik
314
3
0
06 Jun 2023
Parametric and nonparametric symmetries in graphical models for extremes
Parametric and nonparametric symmetries in graphical models for extremes
Frank Rottger
Jane Ivy Coons
Alexandros Grosdos
161
10
0
01 Jun 2023
Positivity in Linear Gaussian Structural Equation Models
Positivity in Linear Gaussian Structural Equation Models
A. Lodhia
Jan-Christian Hütter
Caroline Uhler
Piotr Zwiernik
235
1
0
31 May 2023
On the local metric property in multivariate extremes
On the local metric property in multivariate extremes
Frank Rottger
Quentin Schmitz
258
4
0
20 Dec 2022
Adaptive Estimation of Graphical Models under Total Positivity
Adaptive Estimation of Graphical Models under Total PositivityInternational Conference on Machine Learning (ICML), 2022
Jiaxi Ying
José Vinícius de Miranda Cardoso
Daniel P. Palomar
279
6
0
27 Oct 2022
Total positivity in multivariate extremes
Total positivity in multivariate extremesAnnals of Statistics (Ann. Stat.), 2021
Frank Rottger
Sebastian Engelke
Piotr Zwiernik
370
23
0
29 Dec 2021
On some algorithms for estimation in Gaussian graphical models
On some algorithms for estimation in Gaussian graphical models
Søren Højsgaard
Steffen Lauritzen
TPM
332
5
0
20 Dec 2021
Covariance estimation with nonnegative partial correlations
Covariance estimation with nonnegative partial correlations
Jake A. Soloff
Adityanand Guntuboyina
Sai Li
249
10
0
30 Jul 2020
Dependence in elliptical partial correlation graphs
Dependence in elliptical partial correlation graphsElectronic Journal of Statistics (EJS), 2020
D. Rossell
Piotr Zwiernik
297
24
0
28 Apr 2020
Total positivity in exponential families with application to binary
  variables
Total positivity in exponential families with application to binary variablesAnnals of Statistics (Ann. Stat.), 2019
Steffen Lauritzen
Caroline Uhler
Piotr Zwiernik
463
15
0
01 May 2019
Maximum likelihood estimation in Gaussian models under total positivity
Maximum likelihood estimation in Gaussian models under total positivityAnnals of Statistics (Ann. Stat.), 2017
Steffen Lauritzen
Caroline Uhler
Piotr Zwiernik
545
77
0
14 Feb 2017
Total positivity in Markov structures
Total positivity in Markov structures
Shaun M. Fallat
Steffen Lauritzen
Kayvan Sadeghi
Caroline Uhler
N. Wermuth
Piotr Zwiernik
320
78
0
05 Oct 2015
The Maximum Likelihood Threshold of a Graph
The Maximum Likelihood Threshold of a Graph
Elizabeth Gross
S. Sullivant
441
35
0
28 Apr 2014
Estimation of positive definite M-matrices and structure learning for
  attractive Gaussian Markov Random fields
Estimation of positive definite M-matrices and structure learning for attractive Gaussian Markov Random fields
M. Slawski
Matthias Hein
408
106
0
26 Apr 2014
A New Algorithm for Maximum Likelihood Estimation in Gaussian Graphical
  Models for Marginal Independence
A New Algorithm for Maximum Likelihood Estimation in Gaussian Graphical Models for Marginal IndependenceConference on Uncertainty in Artificial Intelligence (UAI), 2002
Mathias Drton
Thomas S. Richardson
218
32
0
19 Oct 2012
The Nonparanormal SKEPTIC
The Nonparanormal SKEPTICInternational Conference on Machine Learning (ICML), 2012
Han Liu
Fang Han
M. Yuan
John D. Lafferty
Larry A. Wasserman
742
226
0
27 Jun 2012
High Dimensional Semiparametric Gaussian Copula Graphical Models
High Dimensional Semiparametric Gaussian Copula Graphical ModelsInternational Conference on Machine Learning (ICML), 2012
Han Liu
Fang Han
M. Yuan
John D. Lafferty
Larry A. Wasserman
383
408
0
10 Feb 2012
Geometry of maximum likelihood estimation in Gaussian graphical models
Geometry of maximum likelihood estimation in Gaussian graphical models
Caroline Uhler
470
89
0
13 Dec 2010
Extended Bayesian Information Criteria for Gaussian Graphical Models
Extended Bayesian Information Criteria for Gaussian Graphical Models
Rina Foygel
Mathias Drton
411
1,056
0
30 Nov 2010
1
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