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Bayesian Regularization for Graphical Models With Unequal Shrinkage
Lingrui Gan
, Naveen N. Narisetty
,
Feng Liang
Statistics
Carl R. Woese Institute for Genomic Biology
College of Liberal Arts and Sciences
Information Trust Institute
Biomedical and Translational Sciences
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Keyphrases
Bayesian Regularization
100%
Maximum a Posteriori Estimation
100%
Graphical Models
100%
Sparse Structure
66%
Simulation Study
33%
Bayesian Framework
33%
Fast Computation
33%
Efficient Computation
33%
Posterior Probability
33%
Penalized Likelihood
33%
EM Algorithm
33%
Estimation Consistency
33%
Real Application
33%
Matrix Norm
33%
Precision Matrix
33%
Sparse Precision Matrix
33%
Optimal Error Rate
33%
Nonconvex Penalty
33%
Call Center Data
33%
Laplace Prior
33%
Selection Consistency
33%
Approximate Posterior
33%
Adaptive Shrinkage
33%
Structure Recovery
33%
Adaptive Sparsity
33%
Mathematics
Bayesian
100%
Regularization
100%
Posteriori
100%
Graphical Model
100%
Matrix (Mathematics)
66%
Edge
33%
Simulation Study
33%
Supplementary Material
33%
Approximates
33%
Error Rate
33%
EM Algorithm
33%
Matrix Norm
33%
Data Center
33%
Probability
33%
Likelihood
33%