Use a numerical optimisation routine to find the values of (sigma^{2}) and (gamma) that maximise the marginal

Question:

Use a numerical optimisation routine to find the values of $\sigma^{2}$ and $\gamma$ that maximise the marginal likelihood for GP regression using an RBF covariance matrix (with $\alpha=1$ ). Use data generated from a GP. How close are the optimised parameters to their true values?

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