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Application of Bayesian Probabilistic Approach on Ground Motion Attenuation Relations by Ongoing EU Master of Science in Civil Engineering August 2013 Faculty of Science and Technology University
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Update the prior with the data: Using Bayes' theorem, update the prior distribution with the observed data to obtain the posterior distribution. The posterior distribution represents the updated beliefs or knowledge after incorporating the new evidence.
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In summary, understanding how to fill out the application of Bayesian probabilistic involves gathering relevant information, defining prior knowledge, specifying the likelihood function, selecting a prior distribution, updating the prior with data, and performing the Bayesian analysis. Researchers, data analysts, and decision-makers are among those who can benefit from employing Bayesian probabilistic methods.
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