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Bayesian inference is a method of statistical inference that relies on treating the model parameters as random variables and applying Bayes' theorem to deduce subjective probability statements about the parameters or hypotheses, conditional on the observed dataset.

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Pros and Cons Using Bayesian Metrics or Time Series Approach?

So far, I'm considering two approaches: Bayesian Metrics: Creating a Bayesian model to assess whether a product's performance is within its expected range. … Specific Questions: What are the pros and cons of using a Bayesian approach versus a time series approach for this problem? …
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