draws after convergence and save every tenth draw.</p></li>
</ul>
<p>Even though both produce a sample consisting one thousand draws, the second approach with thinning can produce a higher effective sample size. That’s because the autocorrelation <span class="math inline">\(\rho_t\)</span> for the thinned sequence is equivalent to <span class="math inline">\(\rho_{10t}\)</span> in the unthinned sequence, so the sum of the autocorrelations will be lower and thus the effective sample size higher.</p>
<p>Now