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R scripts for Hamiltonian Monte Carlo and Coalescence Towards Perfect Simulation of General Continuous Distributions

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NIAID Data Ecosystem2026-03-11 收录
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https://doi.org/10.7910/DVN/9IK577
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资源简介:
R scripts to accompany the publication listed below. The methodology and results demonstrate for the first time the feasibility of coalescence and near-perfect simulation for fairly general continuous distributions. This constitutes a quantum leap in MCMC convergence testing by decoupling the convergence error from experimental error and providing, for a given set of starting points, an exact number of iterations in which coalescence occurs.
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2020-05-20
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