What are we optimizing? | Available optimizers | Note on computation time | Brute Force | Metropolis-Hastings | Short description | Notes | Example | Hill climbing | Pseudocode | Continuing the optimization | sigma_matrix is the real covariance matrix, that we want to estimate | Additional parameters | Discussion | References

The problem | Invariance by permutation | Package gips | Practical example | Theoretic example | Further reading

What the gips is based on | Alternative reference | Basic definitions | Block Decomposition - [1], Theorem 1 | Examples | Project Matrix - [1, Eq. (6)] | Trivial case | Notation | Example | $C_\sigma$ and n0 | Bayesian model selection | General workflow | Details on the prior distribution | gips technical details | Interpretation | Finding the MAP Estimator | Generate example data from a model: | End of prepare model | Information Criterion - AIC and BIC | Estimated mean | References