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Total positivity in Markov structures
v1v2 (latest)

Total positivity in Markov structures

5 October 2015
Shaun M. Fallat
Steffen Lauritzen
Kayvan Sadeghi
Caroline Uhler
N. Wermuth
Piotr Zwiernik
ArXiv (abs)PDFHTML

Papers citing "Total positivity in Markov structures"

33 / 33 papers shown
Title
Leveraging Low-rank Factorizations of Conditional Correlation Matrices in Graph Learning
Leveraging Low-rank Factorizations of Conditional Correlation Matrices in Graph Learning
Thu Ha Phi
Alexandre Hippert-Ferrer
Florent Bouchard
A. Breloy
111
0
0
12 Jun 2025
Learning Large-Scale MTP$_2$ Gaussian Graphical Models via Bridge-Block
  Decomposition
Learning Large-Scale MTP2_22​ Gaussian Graphical Models via Bridge-Block Decomposition
Xiwen Wang
Jiaxi Ying
Daniel P. Palomar
57
3
0
23 Sep 2023
Network Topology Inference with Sparsity and Laplacian Constraints
Network Topology Inference with Sparsity and Laplacian Constraints
Jiaxi Ying
Xi Han
Rui Zhou
Xiwen Wang
H. C. So
46
2
0
02 Sep 2023
Positivity in Linear Gaussian Structural Equation Models
Positivity in Linear Gaussian Structural Equation Models
A. Lodhia
Jan-Christian Hütter
Caroline Uhler
Piotr Zwiernik
49
1
0
31 May 2023
Adaptive Estimation of Graphical Models under Total Positivity
Adaptive Estimation of Graphical Models under Total Positivity
Jiaxi Ying
José Vinícius de Miranda Cardoso
Daniel P. Palomar
64
4
0
27 Oct 2022
Learning Graphical Factor Models with Riemannian Optimization
Learning Graphical Factor Models with Riemannian Optimization
Alexandre Hippert-Ferrer
Florent Bouchard
A. Mian
Titouan Vayer
A. Breloy
71
10
0
21 Oct 2022
A note on incorrect inferences in non-binary qualitative probabilistic
  networks
A note on incorrect inferences in non-binary qualitative probabilistic networks
J. Carter
37
0
0
19 Aug 2022
Total positivity in multivariate extremes
Total positivity in multivariate extremes
Frank Rottger
Sebastian Engelke
Piotr Zwiernik
64
20
0
29 Dec 2021
Fast Projected Newton-like Method for Precision Matrix Estimation under
  Total Positivity
Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity
Jian-Feng Cai
José Vinícius de Miranda Cardoso
Daniel P. Palomar
Jiaxi Ying
89
11
0
03 Dec 2021
Conditions and Assumptions for Constraint-based Causal Structure
  Learning
Conditions and Assumptions for Constraint-based Causal Structure Learning
Kayvan Sadeghi
Terry Soo
CML
63
6
0
24 Mar 2021
Learning Graph Laplacian with MCP
Learning Graph Laplacian with MCP
Yangjing Zhang
Kim-Chuan Toh
Defeng Sun
74
7
0
22 Oct 2020
Locally associated graphical models and mixed convex exponential
  families
Locally associated graphical models and mixed convex exponential families
Steffen Lauritzen
Piotr Zwiernik
92
13
0
11 Aug 2020
Does the $\ell_1$-norm Learn a Sparse Graph under Laplacian Constrained
  Graphical Models?
Does the ℓ1\ell_1ℓ1​-norm Learn a Sparse Graph under Laplacian Constrained Graphical Models?
Jiaxi Ying
J. Cardoso
Daniel P. Palomar
47
10
0
26 Jun 2020
Continuous Submodular Maximization: Beyond DR-Submodularity
Continuous Submodular Maximization: Beyond DR-Submodularity
Moran Feldman
Amin Karbasi
57
5
0
21 Jun 2020
Dependence in elliptical partial correlation graphs
Dependence in elliptical partial correlation graphs
D. Rossell
Piotr Zwiernik
59
19
0
28 Apr 2020
Convolutions of Totally Positive Distributions with applications to
  Kernel Density Estimation
Convolutions of Totally Positive Distributions with applications to Kernel Density Estimation
Ali Zartash
Elina Robeva
13
0
0
06 Oct 2019
Path Weights in Concentration Graphs
Path Weights in Concentration Graphs
A. Roverato
R. Castelo
18
6
0
12 Jul 2019
Total positivity in exponential families with application to binary
  variables
Total positivity in exponential families with application to binary variables
Steffen Lauritzen
Caroline Uhler
Piotr Zwiernik
168
13
0
01 May 2019
Estimation of Monge Matrices
Estimation of Monge Matrices
Jan-Christian Hütter
Cheng Mao
Philippe Rigollet
Elina Robeva
48
9
0
05 Apr 2019
Efficient Structured Matrix Recovery and Nearly-Linear Time Algorithms
  for Solving Inverse Symmetric $M$-Matrices
Efficient Structured Matrix Recovery and Nearly-Linear Time Algorithms for Solving Inverse Symmetric MMM-Matrices
A. Jambulapati
Kirankumar Shiragur
Aaron Sidford
52
5
0
15 Dec 2018
Markov Properties of Discrete Determinantal Point Processes
Markov Properties of Discrete Determinantal Point Processes
Kayvan Sadeghi
Alessandro Rinaldo
16
3
0
04 Oct 2018
Model-Preserving Sensitivity Analysis for Families of Gaussian
  Distributions
Model-Preserving Sensitivity Analysis for Families of Gaussian Distributions
Christiane Görgen
Manuele Leonelli
OOD
22
5
0
27 Sep 2018
A fast Metropolis-Hastings method for generating random correlation
  matrices
A fast Metropolis-Hastings method for generating random correlation matrices
Irene Córdoba
Gherardo Varando
C. Bielza
P. Larrañaga
11
6
0
02 Sep 2018
Maximum Likelihood Estimation for Totally Positive Log-Concave Densities
Maximum Likelihood Estimation for Totally Positive Log-Concave Densities
Elina Robeva
Bernd Sturmfels
N. Tran
Caroline Uhler
83
21
0
26 Jun 2018
The Geometry of Gaussoids
The Geometry of Gaussoids
T. Boege
Alessio DÁlì
Thomas Kahle
Bernd Sturmfels
54
22
0
19 Oct 2017
Gaussian Graphical Models: An Algebraic and Geometric Perspective
Gaussian Graphical Models: An Algebraic and Geometric Perspective
Caroline Uhler
29
36
0
13 Jul 2017
Detecting confounding in multivariate linear models via spectral
  analysis
Detecting confounding in multivariate linear models via spectral analysis
Dominik Janzing
B. Schoelkopf
60
40
0
05 Apr 2017
Variational Analysis of Constrained M-Estimators
Variational Analysis of Constrained M-Estimators
J. Royset
R. Wets
42
15
0
26 Feb 2017
Maximum likelihood estimation in Gaussian models under total positivity
Maximum likelihood estimation in Gaussian models under total positivity
Steffen Lauritzen
Caroline Uhler
Piotr Zwiernik
158
70
0
14 Feb 2017
Faithfulness of Probability Distributions and Graphs
Faithfulness of Probability Distributions and Graphs
Kayvan Sadeghi
90
41
0
29 Jan 2017
Graphical Models for Discrete and Continuous Data
Graphical Models for Discrete and Continuous Data
Rui Zhuang
Noah Simon
Johannes Lederer
58
4
0
18 Sep 2016
Pairwise Markov properties for regression graphs
Pairwise Markov properties for regression graphs
Kayvan Sadeghi
N. Wermuth
52
14
0
30 Dec 2015
Palindromic Bernoulli distributions
Palindromic Bernoulli distributions
G. M. Marchetti
N. Wermuth
57
16
0
30 Oct 2015
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