Hamiltonian Monte Carlo: Efficient Posterior Sampling in High Dimensions
Abstract: Hamiltonian Monte Carlo (HMC) uses gradient information to explore posterior distributions efficiently, making it a practical default for high-dimensional Bayesian inference.
Keywords: mcmc, bayesian, inference