ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1403.3374
  4. Cited By
High-dimensional Ising model selection with Bayesian information
  criteria

High-dimensional Ising model selection with Bayesian information criteria

13 March 2014
Rina Foygel Barber
Mathias Drton
ArXivPDFHTML

Papers citing "High-dimensional Ising model selection with Bayesian information criteria"

6 / 6 papers shown
Title
High-dimensional structure learning of sparse vector autoregressive
  models using fractional marginal pseudo-likelihood
High-dimensional structure learning of sparse vector autoregressive models using fractional marginal pseudo-likelihood
Kimmo Suotsalo
Y. Xu
J. Corander
J. Pensar
14
3
0
03 Nov 2020
Predictive Learning on Hidden Tree-Structured Ising Models
Predictive Learning on Hidden Tree-Structured Ising Models
Konstantinos E. Nikolakakis
Dionysios S. Kalogerias
Anand D. Sarwate
25
12
0
11 Dec 2018
Model-based Clustering with Sparse Covariance Matrices
Model-based Clustering with Sparse Covariance Matrices
Michael Fop
T. B. Murphy
Luca Scrucca
37
39
0
21 Nov 2017
Structure Learning in Graphical Modeling
Structure Learning in Graphical Modeling
Mathias Drton
Marloes H. Maathuis
CML
44
246
0
07 Jun 2016
Structure estimation for mixed graphical models in high-dimensional data
Structure estimation for mixed graphical models in high-dimensional data
Jonas M. B. Haslbeck
L. Waldorp
CML
26
47
0
19 Oct 2015
On the contraction properties of some high-dimensional quasi-posterior
  distributions
On the contraction properties of some high-dimensional quasi-posterior distributions
Yves F. Atchadé
20
39
0
31 Aug 2015
1