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The Nonparanormal SKEPTIC

The Nonparanormal SKEPTIC

27 June 2012
Han Liu
Fang Han
M. Yuan
John D. Lafferty
Larry A. Wasserman
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Papers citing "The Nonparanormal SKEPTIC"

15 / 15 papers shown
Title
Entropic covariance models
Entropic covariance models
Piotr Zwiernik
14
2
0
06 Jun 2023
High-Dimensional Undirected Graphical Models for Arbitrary Mixed Data
High-Dimensional Undirected Graphical Models for Arbitrary Mixed Data
Konstantin Göbler
Anne Miloschewski
Mathias Drton
S. Mukherjee
12
2
0
21 Nov 2022
Scalable Bigraphical Lasso: Two-way Sparse Network Inference for Count
  Data
Scalable Bigraphical Lasso: Two-way Sparse Network Inference for Count Data
Sijia Li
Martín López-García
Neil D. Lawrence
Luisa Cutillo
24
5
0
15 Mar 2022
A unified precision matrix estimation framework via sparse column-wise
  inverse operator under weak sparsity
A unified precision matrix estimation framework via sparse column-wise inverse operator under weak sparsity
Zeyu Wu
Cheng-Long Wang
Weidong Liu
20
3
0
07 Jul 2021
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula
  Processes
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes
David Salinas
Michael Bohlke-Schneider
Laurent Callot
Roberto Medico
Jan Gasthaus
AI4TS
14
221
0
07 Oct 2019
Nonparametric Density Estimation for High-Dimensional Data - Algorithms
  and Applications
Nonparametric Density Estimation for High-Dimensional Data - Algorithms and Applications
Zhipeng Wang
D. W. Scott
14
69
0
30 Mar 2019
Learning non-parametric Markov networks with mutual information
Learning non-parametric Markov networks with mutual information
Janne Leppä-aho
Santeri Räisänen
Xiao Yang
Teemu Roos
16
2
0
08 Aug 2017
An Exponential Inequality for U-Statistics under Mixing Conditions
An Exponential Inequality for U-Statistics under Mixing Conditions
Fang Han
20
24
0
22 Sep 2016
Information Theoretic Structure Learning with Confidence
Information Theoretic Structure Learning with Confidence
Kevin R. Moon
M. Noshad
S. Y. Sekeh
Alfred Hero
9
18
0
13 Sep 2016
Sufficient Forecasting Using Factor Models
Sufficient Forecasting Using Factor Models
Jianqing Fan
Lingzhou Xue
Jiawei Yao
AI4TS
24
76
0
27 May 2015
A General Framework for Mixed Graphical Models
A General Framework for Mixed Graphical Models
Eunho Yang
Pradeep Ravikumar
Genevera I. Allen
Yulia Baker
Ying-Wooi Wan
Zhandong Liu
33
18
0
02 Nov 2014
High Dimensional Semiparametric Scale-Invariant Principal Component
  Analysis
High Dimensional Semiparametric Scale-Invariant Principal Component Analysis
Fang Han
Han Liu
31
16
0
18 Feb 2014
Challenges of Big Data Analysis
Challenges of Big Data Analysis
Jianqing Fan
Fang Han
Han Liu
65
1,277
0
07 Aug 2013
High-dimensional Mixed Graphical Models
High-dimensional Mixed Graphical Models
Jie Cheng
Tianxi Li
Elizaveta Levina
Ji Zhu
54
78
0
09 Apr 2013
Sparse Nonparametric Graphical Models
Sparse Nonparametric Graphical Models
John D. Lafferty
Han Liu
Larry A. Wasserman
47
64
0
04 Jan 2012
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