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Maximum likelihood estimation in Gaussian models under total positivity
Steffen L. Lauritzen
, Caroline Uhler, Piotr Zwiernik
Department of Mathematical Sciences
5
Citations (Scopus)
36
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Dive into the research topics of 'Maximum likelihood estimation in Gaussian models under total positivity'. Together they form a unique fingerprint.
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Mathematics
Clustering
25%
Coordinate Descent
36%
Correlation Matrix
31%
Covariance matrix
24%
Descent Algorithm
34%
Directly proportional
23%
Evidence
22%
Excess
28%
Gaussian distribution
23%
Gaussian Model
62%
Graph in graph theory
24%
Inverse matrix
31%
Linear algebra
26%
Linkage
29%
Maximum Likelihood Estimation
50%
Maximum Likelihood Estimator
47%
Observation
17%
Phylogenetics
33%
Scaling
23%
Signed
28%
Spanning Forest
38%
Sparsity
28%
Total Positivity
77%
Upper bound
17%
Business & Economics
Clustering
16%
Correlation Matrix
22%
Covariance Matrix
20%
Empirical Evidence
18%
Graph
34%
Linkage
17%
Maximum Likelihood Estimation
100%
Maximum Likelihood Estimator
43%
Scaling
21%
Upper Bound
18%