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most citedA Note on the Polynomial Ergodicity of the One-Dimensional Zig-Zag process

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stat.CO2025

Some aspects of robustness in modern Markov Chain Monte Carlo

Sam Power, Giorgos Vasdekis

Markov Chain Monte Carlo (MCMC) is a flexible approach to approximate sampling from intractable probability distributions, with a rich theoretical foundation and comprising a wealt…

stat.CO2025

Sampling with time-changed Markov processes

Andrea Bertazzi, Giorgos Vasdekis

We study time-changed Markov processes to speed up the convergence of Markov chain Monte Carlo (MCMC) algorithms. The time-changed process is defined by adjusting the speed of time…