single location parameter, but no priors.</p>
<pre><code>data {
  int N;
  real y[N];
}
parameters {
  real mu;
  real&lt;lower=0&gt; sigma;
}
model {
  y ~ normal(mu, sigma);
}</code></pre>
<p>All three of the example models were fit in Stan 2.1.0 with default
parameters (1000 warmup iterations, 1000 sampling iterations, NUTS
sampler with max tree depth of 10). The results are shown in the
non-identified fits figure. The key statistics from these outputs are
the following.</p>
<ul>
<li><p>As indicated by <