# Implementing MCMC - Hamiltonian Monte Carlo

This post is about Hamiltonian Monte Carlo, an MCMC algorithm that builds on the Metropolis algorithm, but uses information about the geometry of the posterior to make better proposals.

Read more →This post is about Hamiltonian Monte Carlo, an MCMC algorithm that builds on the Metropolis algorithm, but uses information about the geometry of the posterior to make better proposals.

Read more →I'm a big fan of probabilistic modelling and Bayesian inference. In fact at the time of writing that's the only topic I've written about on this blog so perhaps that's blindingly obvious...

Read more →In his seminal paper "An Essay towards solving a Problem in the Doctrine of Chances", Thomas Bayes introduced a thought experiment involving six balls thrown randomly onto a billiards table.

Read more →This is the third and final post in a series on election modelling; specifically multi-level regression with poststratification (MRP) and its successful use by YouGov in the 2017 general election...

Read more →This is the second post in a series on election modelling; specifically multi-level regression with poststratification (MRP) and its successful use by YouGov in the 2017 general election...

Read more →