Computational Mathematics
Bayesian inference is a statistical method that applies Bayes' theorem to update the probability of a hypothesis as more evidence or information becomes available. This approach allows for the incorporation of prior knowledge or beliefs into the analysis, which can be particularly useful in situations where data is limited or uncertain. It emphasizes the continuous updating of beliefs and uncertainty quantification, making it a powerful tool for decision-making and sensitivity analysis.
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