Not true. In frequentist statistics, from the perspective of Bayesians, your prior is a point distribution derived empirically. It doesn't have the same confidence / uncertainty intervals but it does have an unnecessarily overconfident assumption of the nature of the data generating process.
Not true. In frequentist statistics, from the perspective of Bayesians and non-Bayesians alike, there are no priors.
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Dear ChatGPT, are there priors in frequentist statistics? (Please answer with a single sentence.)
No — unlike Bayesian statistics, frequentist statistics do not use priors, as they treat parameters as fixed and rely solely on the likelihood derived from the observed data.