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Stochastic Environmental Research and Risk Assessment, 2015
Watershed-scale water quality (WWQ) models are now widely used to support management decision-making. However, significant uncertainty in the model outputs remains a largely unaddressed issue. In recent years, Markov Chain Monte Carlo (MCMC), a category of formal Bayesian approaches for uncertainty analysis (UA), has become popular in the field of ...
Yi Zheng, Feng Han
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Watershed-scale water quality (WWQ) models are now widely used to support management decision-making. However, significant uncertainty in the model outputs remains a largely unaddressed issue. In recent years, Markov Chain Monte Carlo (MCMC), a category of formal Bayesian approaches for uncertainty analysis (UA), has become popular in the field of ...
Yi Zheng, Feng Han
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Bayesian Markov chain Monte Carlo (MCMC)
2011Σκοπός της εργασίας είναι να προσομοιώσει σε προγραμματιστικό περιβάλλον τύπου R μπευζιανά στατιστικά δεδομένα έτσι ώστε μέσω πρόβλεψης να πάρουμε όσο πιο κοντά αποτελέσματα γίνεται στις πραγματικές τιμές των δεδομένων.
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Utilizing Markov chain Monte Carlo (MCMC) method for improved glottal inverse filtering
Interspeech 2012, 2012Harri Auvinen +3 more
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Convergence Diagnostics for Markov Chain Monte Carlo
Annual Review of Statistics and Its Application, 2020Vivekananda Roy
exaly
A Mathematical Introduction to Markov chain Monte Carlo (MCMC) - Presentation
2022openaire +1 more source
Stochastic Gradient Markov Chain Monte Carlo
Journal of the American Statistical Association, 2021Christopher Nemeth, Paul Fearnhead
exaly