1.1 Elements of System Identification
1.2 Traditional Identification Criteria
1.3 Information Theoretic Criteria
Appendix A Unifying Framework of ITL
Appendix B -Stable Distribution
Appendix D Proof of Cramer–Rao Inequality
3. Information Theoretic Parameter Estimation
3.1 Traditional Methods for Parameter Estimation
3.2 Information Theoretic Approaches to Classical Estimation
3.3 Information Theoretic Approaches to Bayes Estimation
3.4 Information Criteria for Model Selection
Appendix F: Minimum MSE Estimation
Appendix G: Derivation of AIC Criterion
4. System Identification Under Minimum Error Entropy Criteria
4.1 Brief Sketch of System Parameter Identification
4.2 MEE Identification Criterion
4.3 Identification Algorithms Under MEE Criterion
4.5 Optimization of -Entropy Criterion
4.6 Survival Information Potential Criterion
4.8 System Identification with MCC
Appendix H Vector Gradient and Matrix Gradient
5. System Identification Under Information Divergence Criteria
5.1 Parameter Identifiability Under KLID Criterion
5.2 Minimum Information Divergence Identification with Reference PDF
6. System Identification Based on Mutual Information Criteria
6.1 System Identification Under the MinMI Criterion
6.2 System Identification Under the MaxMI Criterion