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MCMC methods for stochastic epidemic models
2003Abstract The previous article highlighted some of the challenges involved in performing statistical inference using stochastic models for infectious diseases. These challenges arise due to both the inherent features of infectious disease outbreak data, for instance a high level of dependency in such data and a lack of complete ...
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Sequential MCMC Methods for Audio Signal Enhancement
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022Rubén M. Clavería, Simon J. Godsill
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An Overview of MCMC Methods: From Theory to Applications
2022Christos N. Karras +3 more
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Marginal Likelihood Calculation with MCMC Methods
2013Markov Chain Monte Carlo (MCMC) methods have revolutionised Bayesian data analysis over the years by making the direct computation of posterior probability densities feasible on modern workstations. However, the calculation of the prior predictive, the marginal likelihood, has proved to be notoriously difficult with standard techniques. In this chapter
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An adaptive Hessian approximated stochastic gradient MCMC method
Journal of Computational Physics, 2021Guang Lin, Yating Wang
exaly
Rock physics inversion based on an optimized MCMC method
Applied Geophysics, 2022Jia-Jia Zhang +2 more
exaly
Measuring uncertainty in fisheries stock assessment: the delta method, bootstrap, and MCMC
Fish and Fisheries, 2013André Punt, Arni Magnússon
exaly

