Nested Sampling with Constrained Hamiltonian Monte Carlo

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Betancourt, M. J.;

Nested sampling is a powerful approach to Bayesian inference ultimately limited by the computationally demanding task of sampling from a heavily constrained probability distribution. An effective algorithm in its own right, Hamiltonian Monte Carlo is readily adapted to ... View more
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