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Maximum a posteriori covariance estimation using a power inverse wishart prior
Søren Feodor Nielsen,
Jon Sporring
Department of Computer Science
11
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Dive into the research topics of 'Maximum a posteriori covariance estimation using a power inverse wishart prior'. Together they form a unique fingerprint.
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Mathematics
Maximum a Posteriori Estimation
100%
Covariance Estimation
92%
Maximum a Posteriori
42%
Sample space
40%
Estimator
38%
Substitute
38%
Factor Analysis
38%
Principal Component Analysis
34%
Dimensionality
33%
Prior distribution
32%
Statistical method
31%
Maximum Likelihood Estimate
31%
Covariance matrix
29%
Regularization
28%
Modeling
21%
Demonstrate
19%
Approximation
16%
Class
9%