How do Bayesian methods compare to frequentist methods in statistics?
Bayesian methods incorporate prior beliefs and evidence, while frequentist methods rely solely on the data at hand.
Can you give an example of when Bayesian methods would be preferred?
Sure! Bayesian methods are often preferred in situations with limited data or when prior information is available.
What are some criticisms of Bayesian methods?
Critics argue that Bayesian methods can be subjective due to the reliance on prior distributions, which may not always be justifiable.
How do the two approaches handle uncertainty differently?
Bayesian methods provide a probability distribution for parameters, while frequentist methods offer point estimates and confidence intervals.
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