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Consider a bounded set C ⊃ C

establishes that, when γi(x) are lower, upper bounded, any set of the form C = Cx × Cv where Cx is a compact set, Cv ⊂ {±1}d is (t, b(t), ν)-small for the ZZP for any t ≥ t0, where t0 is a large enough time, b(t) is continuous in t · 2022

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Sampling with time-changed Markov processes

stat.CO · 2025-01-25 · conditional · novelty 6.0

A unified framework for time-changed Markov processes shows how to accelerate MCMC convergence while preserving the target distribution, unifying several known algorithms.

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  • Sampling with time-changed Markov processes stat.CO · 2025-01-25 · conditional · none · ref 14

    A unified framework for time-changed Markov processes shows how to accelerate MCMC convergence while preserving the target distribution, unifying several known algorithms.