Which statement best describes the fundamental difference between Bayesian and frequentist probability interpretations?

Which statement best describes the fundamental difference between Bayesian and frequentist probability interpretations?

• A. Frequentist probability is a long-run frequency; Bayesian updates beliefs with prior and data to form posterior.
• B. Bayesian probability is a long-run frequency; Frequentist updates beliefs with prior and data to form posterior.
• C. Probability is always a fixed truth regardless of evidence.
• D. Prior information is always ignored in Bayesian updating.

Answer: (A)