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• W1497103531 abstract "We survey possible strategies to improve the performance of Markov chain Monte Carlo methods either by reducing the asymptotic variance of the resulting estimators or by increasing the speed of convergence to stationarity.Keywords:adaptive MCMC;auxiliary variables;delayed rejection;hybrid Monte Carlo;Langevin diffusions;particle filters;population Monte Carlo;simulated tempering;slice sampler" @default.
• W1497103531 created "2016-06-24" @default.
• W1497103531 creator A5030873840 @default.
• W1497103531 date "2014-09-29" @default.
• W1497103531 modified "2023-09-26" @default.
• W1497103531 title "Markov Chain Monte Carlo, Convergence and Mixing in" @default.
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• W1497103531 doi "https://doi.org/10.1002/9781118445112.stat03883" @default.
• W1497103531 hasPublicationYear "2014" @default.
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