<h3><span class="header-section-number">16.1.1</span> Probability Density Function</h3>
<p>If <span class="math inline">\(\mu \in \mathbb{R}\)</span> and <span class="math inline">\(\sigma \in \mathbb{R}^+\)</span>, then for <span class="math inline">\(y \in \mathbb{R}^+\)</span>, <span class="math display">\[ \text{LogNormal}(y|\mu,\sigma) = \frac{1}{\sqrt{2
\pi} \ \sigma} \, \frac{1}{y} \ \exp \! \left(        - \, \frac{1}{2}
\, \left( \frac{\log y - \mu}{\sigma} \right)^2      \right) . \]</span></p>
</