Maximum a posteriori covariance estimation using a power inverse wishart prior

Matematik

• Approximation 16%
• Class 9%
• Covariance Estimation 92%
• Covariance matrix 29%
• Demonstrate 19%
• Dimensionality 33%
• Estimator 38%
• Factor Analysis 38%
• Maximum a Posteriori 42%
• Maximum a Posteriori Estimation 100%
• Maximum Likelihood Estimate 31%
• Modeling 21%
• Principal Component Analysis 34%
• Prior distribution 32%
• Regularization 28%
• Sample space 40%
• Statistical method 31%
• Substitute 38%