How does the Bayesian perspective generally treat parameters compared to the frequentist perspective?
Answer
As variables described by probability distributions
A central difference is that the Bayesian treats parameters as the variables described by probability distributions, reflecting a degree of belief, whereas the frequentist treats parameters as fixed, unknown constants.
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