e model will draw values <span class="math inline">\(y_n = f(x_n)\)</span> for finitely many
input points <span class="math inline">\(x_n\)</span>.</p>
<p>The Stan model defines the mean and covariance functions in a
transformed data block and then samples outputs <span class="math inline">\(y\)</span> in the model using
a multivariate normal distribution. To make the model concrete, the
squared exponential covariance function described in the previous section
will be used with hyperparameters set to <span 