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Stability of universal properties against perturbations of the Markov Chain Monte Carlo algorithm

• Authors : Bacci, Matteo; Bonati, Claudio

Subjects: Statistical Mechanics; High Energy Physics - Lattice; High Energy Physics - Phenomenology

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The Traceplot Thickens: Developing All-Purpose Convergence Diagnostics for any Markov Chain Monte Carlo Algorithm

• Authors : Duttweiler, Luke; Klus, Jonathan; Coull, Brent A.

Subjects: Computation; 62F15

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Nonreversible Markov Chain Monte Carlo Algorithm for Efficient Generation of Self-Avoiding Walks

• Authors : Zhao, Hanqing; Vucelja, Marija; National Science Foundation

• Source: Frontiers in Physics ; volume 9 ; ISSN 2296-424X

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MRI-based brain tumor segmentation using Gaussian mixture model with reversible jump Markov chain Monte Carlo algorithm

• Authors : Pravitasari, Anindya Apriliyanti; Hermanto, Yusuf Puji; Iriawan, Nur

• Source: AIP Conference Proceedings ; THE 2ND INTERNATIONAL CONFERENCE ON SCIENCE, MATHEMATICS, ENVIRONMENT, AND EDUCATION ; volume 2194, page 020085 ; ISSN 0094-243X

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Development of reversible jump Markov Chain Monte Carlo algorithm in the Bayesian mixture modeling for microarray data in Indonesia

• Authors : Astuti, Ani Budi; Iriawan, Nur; Irhamah

• Source: AIP Conference Proceedings ; volume 1913, page 020033 ; ISSN 0094-243X

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An effective simulated annealing refined replica exchange Markov chain Monte Carlo algorithm for the infectious disease model of H1N1 influenza pandemic

• Authors : Zhang, Jiapu

Subjects: Markov chain; Metropolis-hastings sampling; Monte carlo

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(MC)(3)-A Multi-Channel Markov Chain Monte Carlo algorithm for phase-space sampling

• Authors : Kroeninger, Kevin; Schumann, Steffen; Willenberg, Benjamin ...

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Estimating the Granularity Coefficient of a Potts-Markov Random Field Within a Markov Chain Monte Carlo Algorithm

• Authors : Pereyra, M.; Dobigeon, N.; Batatia, H.

• Source: IEEE Transactions on Image Processing ; volume 22, issue 6, page 2385-2397 ; ISSN 1057-7149 1941-0042

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On Finding the Smallest Generalized Eigenpair Using Markov Chain Monte Carlo Algorithm

• Authors : Mehrdoust, Farshid

• Source: Applied Mathematics ; volume 03, issue 06, page 594-596 ; ISSN 2152-7385 2152-7393

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BeeSwarm-MH Sampling for Bayesian Inference of GL Equation Parameters

• Authors : Lipu Zhang

Subjects: Numerical and computational mathematics not elsewhere classified; Computational statistics; Metropolis-Hastings Markov Chain Monte-Carlo algorithm

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