No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo

E2190552 UNEXPLORED

"No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo" is a foundational paper in Bayesian computation that introduces the NUTS algorithm, an adaptive variant of Hamiltonian Monte Carlo that automatically tunes trajectory lengths for efficient Markov chain sampling.

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