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High-dimensional Ising model selection with Bayesian information
  criteria
v1v2 (latest)

High-dimensional Ising model selection with Bayesian information criteria

13 March 2014
Rina Foygel Barber
Mathias Drton
ArXiv (abs)PDFHTML

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

11 / 11 papers shown
Title
Statistical Limits of Sparse Mixture Detection
Statistical Limits of Sparse Mixture Detection
Subhodh Kotekal
59
0
0
06 Apr 2021
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
51
3
0
03 Nov 2020
Additive stacking for disaggregate electricity demand forecasting
Additive stacking for disaggregate electricity demand forecasting
Christian Capezza
B. Palumbo
Y. Goude
S. Wood
Matteo Fasiolo
AI4TS
76
7
0
20 May 2020
Learning pairwise Markov network structures using correlation
  neighborhoods
Learning pairwise Markov network structures using correlation neighborhoods
Juri Kuronen
J. Corander
J. Pensar
25
0
0
30 Oct 2019
Causal Inference Under Interference And Network Uncertainty
Causal Inference Under Interference And Network Uncertainty
Rohit Bhattacharya
Daniel Malinsky
I. Shpitser
CML
56
64
0
29 Jun 2019
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
76
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
78
39
0
21 Nov 2017
Structure Learning in Graphical Modeling
Structure Learning in Graphical Modeling
Mathias Drton
Marloes H. Maathuis
CML
112
253
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
58
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
102
39
0
31 Aug 2015
Laplace Approximation in High-dimensional Bayesian Regression
Laplace Approximation in High-dimensional Bayesian Regression
Rina Foygel Barber
Mathias Drton
Kean Ming Tan
48
26
0
28 Mar 2015
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