 of the estimation of posterior quantities of interest, such as means, variances, or quantiles; see <span class="citation">Geyer (<a href="#ref-Geyer:2011">2011</a>)</span>.</p>
<p>Stan estimates an effective sample size for each parameter, which plays the role in the Markov chain Monte Carlo central limit theorem (MCMC CLT) as the number of independent draws plays in the standard central limit theorem (CLT).</p>
<p>Unlike most packages, the particular calculations used by Stan follow those for split-<span 