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- Model Identification and Analysis
- State-Space Modeling and Parameter Estimation
- Co-integration Modeling
- Regression Diagnostics
- VAR and Error Correction Models
- Limited Dependent Variable Models
- Regression using MATLAB
- Design of the regression library
- Selecting a least-squares algorithm
- Performance profiling the regression toolbox

- Simultaneous Equation Models
- Two-stage least-squares models
- Three-stage least-squares models
- Seemingly unrelated regression models

- Utility Functions
- Calendar function utilities
- Printing and plotting matrices
- Data transformation utilities
- Gauss & Wrapper functions

- Optimization functions library
- Simplex optimization
- Univariate & Multivariate simplex optimization
- EM algorithms for optimization
- Multivariate gradient optimization

- Markov Chain Monte Carlo Models
- The Bayesian Regression Model
- The Gibbs Sampler
- Monitoring convergence of the sampler
- Autocorrelation estimates
- Raftery-Lewis diagnostics

- Distribution functions library
- The pdf, cdf, inv and rnd functions
- The specialized functions

- Handling sparse matrices
- Computational savings with sparse matrices
- Estimation using sparse matrix algorithms
- Gibbs sampling and sparse matrices