On Lq Convergence of the Hamiltonian Monte Carlo
Abstract
We establish Lq convergence for Hamiltonian Monte Carlo algorithms. More specifically, under mild conditions for the associated Hamiltonian motion, we show that the outputs of the algorithms converge (strongly for 2 q<∞ and weakly for 1<q<2) to the desired target distribution.
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