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• W2983001628 abstract "Perfect Monte Carlo sampling refers to sampling random realizations exactly from the target distributions (without any statistical error). Although many different methods have been developed and various applications have been implemented in the area of perfect Monte Carlo sampling, it is mostly referred by researchers to coupling from the past (CFTP) which can correct the statistical errors for the Monte Carlo samples generated by Markov chain Monte Carlo (MCMC) algorithms. This paper provides a brief review on the recent developments and applications in CFTP and other perfect Monte Carlo sampling methods." @default.
• W2983001628 created "2019-11-22" @default.
• W2983001628 creator A5017018298 @default.
• W2983001628 date "2020-07-15" @default.
• W2983001628 modified "2023-10-10" @default.
• W2983001628 title "A Review on the Exact Monte Carlo Simulation" @default.
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• W2983001628 doi "https://doi.org/10.5772/intechopen.88619" @default.
• W2983001628 hasPublicationYear "2020" @default.
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