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Local and Global Inference for High Dimensional Nonparanormal Graphical
  Models
v1v2 (latest)

Local and Global Inference for High Dimensional Nonparanormal Graphical Models

9 February 2015
Quanquan Gu
Yuanbin Cao
Y. Ning
Han Liu
ArXiv (abs)PDFHTML

Papers citing "Local and Global Inference for High Dimensional Nonparanormal Graphical Models"

8 / 8 papers shown
Title
High-Temperature Structure Detection in Ferromagnets
High-Temperature Structure Detection in Ferromagnets
Yuan Cao
Matey Neykov
Han Liu
65
10
0
21 Sep 2018
Randomized incomplete $U$-statistics in high dimensions
Randomized incomplete UUU-statistics in high dimensions
Xiaohui Chen
Kengo Kato
75
42
0
03 Dec 2017
Maximum Regularized Likelihood Estimators: A General Prediction Theory
  and Applications
Maximum Regularized Likelihood Estimators: A General Prediction Theory and Applications
Rui Zhuang
Johannes Lederer
53
15
0
09 Oct 2017
Inter-Subject Analysis: Inferring Sparse Interactions with Dense
  Intra-Graphs
Inter-Subject Analysis: Inferring Sparse Interactions with Dense Intra-Graphs
Cong Ma
Junwei Lu
Han Liu
99
8
0
20 Sep 2017
Graphical Models for Discrete and Continuous Data
Graphical Models for Discrete and Continuous Data
Rui Zhuang
Noah Simon
Johannes Lederer
60
4
0
18 Sep 2016
Combinatorial Inference for Graphical Models
Combinatorial Inference for Graphical Models
Matey Neykov
Junwei Lu
Han Liu
TPM
61
21
0
10 Aug 2016
A Unified Theory of Confidence Regions and Testing for High Dimensional
  Estimating Equations
A Unified Theory of Confidence Regions and Testing for High Dimensional Estimating Equations
Matey Neykov
Y. Ning
Jun S. Liu
Han Liu
100
77
0
30 Oct 2015
BDgraph: An R Package for Bayesian Structure Learning in Graphical
  Models
BDgraph: An R Package for Bayesian Structure Learning in Graphical Models
Abdolreza Mohammadi
E. Wit
CML
74
104
0
21 Jan 2015
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