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High-dimensional semiparametric bigraphical models
Yang Ning, Han Liu
Operations Research & Financial Engineering
Research output
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Contribution to journal
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Article
›
peer-review
12
Scopus citations
Overview
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Dive into the research topics of 'High-dimensional semiparametric bigraphical models'. Together they form a unique fingerprint.
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Mathematics
Gaussian Model
85%
Semiparametric Model
83%
High-dimensional
60%
Penalized Likelihood
30%
Multivariate Analysis
29%
Parametric Model
25%
Missing Data
25%
Recovery
24%
Categorical
23%
Graph in graph theory
22%
Rate of Convergence
18%
Model
16%
Modeling
16%
Framework
14%
Estimate
11%
Business & Economics
Semiparametric Model
100%
Matrix
39%
Graph
28%
Regularization
19%
Missing Data
19%
Rate of Convergence
18%
Multivariate Analysis
16%
Modeling
8%
Medicine & Life Sciences
Multivariate Analysis
52%
Agriculture & Biology
graphs
27%
multivariate analysis
12%
Engineering & Materials Science
Multivariate Analysis
20%
Recovery
9%