Results 231 to 240 of about 38,389 (265)
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MCMC methods for stochastic epidemic models

2003
Abstract 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 ...
openaire   +1 more source

Sequential MCMC Methods for Audio Signal Enhancement

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
Rubén M. Clavería, Simon J. Godsill
openaire   +1 more source

An Overview of MCMC Methods: From Theory to Applications

2022
Christos N. Karras   +3 more
openaire   +1 more source

Marginal Likelihood Calculation with MCMC Methods

2013
Markov 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
openaire   +1 more source

An adaptive Hessian approximated stochastic gradient MCMC method

Journal of Computational Physics, 2021
Guang Lin, Yating Wang
exaly  

Rock physics inversion based on an optimized MCMC method

Applied Geophysics, 2022
Jia-Jia Zhang   +2 more
exaly  

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