What are the limitations of Bayesian methods in statistics?

What are the limitations of Bayesian methods in statistics?

Bayesian methods have several limitations, including reliance on prior distributions, computational intensity, and potential for overfitting.

Can you explain how prior distributions affect the results?

Certainly! The choice of prior can significantly influence the posterior results, especially with limited data.

What are some common misconceptions about Bayesian methods?

A common misconception is that Bayesian methods are always superior to frequentist methods, which isn't necessarily true.

How do computational challenges impact the use of Bayesian methods?

Computational challenges can make Bayesian methods less practical for large datasets or complex models due to intensive calculations.

Are there specific fields where Bayesian methods are less effective?

Yes, in fields with limited data or where prior information is hard to quantify, Bayesian methods may not perform well.