dsymbol{\Lambda}\)</span>.</p>
<p>It easily follows that generating <span class="math inline">\(\boldsymbol{Z}\)</span> from a <span class="math inline">\(d-1\)</span> dimensional log-Gaussian distribution
with covariance <span class="math inline">\(\mathsf{Co}(Z_i,
Z_k)=2(\lambda_{ij}^2+\lambda_{kj}^2-\lambda_{ik}^2)\)</span> for <span class="math inline">\(i,
k \in I_{-j}\)</span> with mean vector <span class="math inline">\(-2\lambda_{\bullet j}^2\)</span> gives the finite
dimensional analog of the Brown