<div id="hamiltonian-monte-carlo-sampling" class="section level3 unnumbered">
<h3>Hamiltonian Monte Carlo Sampling</h3>
<p>Hamiltonian Monte Carlo (HMC), as performed by Stan, is much more
efficient at exploring posteriors in models where parameters are
correlated in the posterior. In this particular example, the
Hamiltonian dynamics (i.e., the motion of a fictitious particle given
random momentum in the field defined by the negative log posterior) is
going to run up and down along the valley defined by the