Handbook of Markov Chain Monte Carlo
Handbook of Markov Chain Monte Carlo
Hamiltonian dynamics can be used to produce distant proposals for the Metropolis algorithm, thereby avoiding the slow exploration of the state space that results from the diffusive behaviour of simple random-walk proposals.Though originating in physics, Hamiltonian dynamics can be applied to most problems with continuous state spaces by simply introducing …