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Tree-based Node Aggregation in Sparse Graphical Models
Ines Wilms
, Jacob Bien
QE Econometrics
GSBE other - not theme-related research
Mathematics Centre Maastricht
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Working paper / Preprint
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Dive into the research topics of 'Tree-based Node Aggregation in Sparse Graphical Models'. Together they form a unique fingerprint.
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Keyphrases
Tree-based
100%
Sparse Graphical Model
100%
Node Aggregation
100%
Graphical Models
100%
Least Absolute Shrinkage and Selection Operator (LASSO)
66%
Number of Edges
33%
Locally Adaptive
33%
Alternating Direction multiplier Method
33%
Simple Network
33%
Efficient Implementation
33%
Regularized Method
33%
Applications in Finance
33%
Node Similarity
33%
Applications in Biology
33%
Graphical Lasso
33%
INIS
aggregation
100%
data
50%
applications
50%
information
50%
simulation
50%
implementation
50%
proposals
50%
biology
50%
Computer Science
Graphical Model
100%
Aggregation Node
100%
Regularization
25%
Alternating Direction Method of Multipliers
25%
Side Information
25%
Efficient Implementation
25%
Engineering
Nodes
100%
Illustrates
20%
Similarities
20%
Regularization
20%
Efficient Implementation
20%
Side Information
20%
Alternating Direction Method of Multipliers
20%
Simple Network
20%
Mathematics
Graphical Model
100%
Edge
50%
Regularization
25%
Practical Advantage
25%
Alternating Direction Method of Multipliers
25%