Modeling of uncertain spectra through stochastic autoregressive systems

Keyphrases

• Stochastic Model 100%
• Scalar 100%
• Reflection Coefficient 100%
• Hyperparameters 100%
• Power Spectral Density Matrix 100%
• Autoregressive Systems 100%
• Vector Process 100%
• Small Sets 50%
• Eigenvalues 50%
• Model Uncertainty 50%
• Natural Phenomena 50%
• Non-pathogenic 50%
• Maximum Entropy 50%
• Autoregressive Model 50%
• Entropy Concept 50%
• Epistemic Uncertainty 50%
• Maximum Likelihood 50%
• Modeling Strategy 50%
• Parametrization 50%
• Power Spectral Density 50%
• Spectral Matrix 50%
• Condition for Stability 50%
• Four Degrees of Freedom 50%
• Autoregressive Order 50%
• Stationary Process 50%
• F-15 50%
• Aleatoric Uncertainty 50%

Mathematics

• Stochastics 100%
• Power Spectral Density 100%
• Stochastic Model 66%
• Reflection Coefficient 66%
• Density Matrix 66%
• Matrix (Mathematics) 33%
• Maximum Entropy 33%
• Parametric 33%
• Random Sample 33%
• Maximum Likelihood 33%
• Small Set 33%
• Eigenvalue 33%
• Observed Data 33%
• Stationary Process 33%
• Autoregressive Model 33%
• Necessary and Sufficient Condition 33%
• Entropy Concept 33%
• Epistemic Uncertainty 33%
• Degree of Freedom 33%