What are Some Challenges in Using Bayesian Inference?
Despite its advantages, Bayesian inference also has some challenges:
Computational complexity: Bayesian methods often require complex algorithms and substantial computational power, especially for large datasets. Choice of priors: Selecting appropriate prior probabilities can be subjective and may influence the results significantly. Interpretation: The results of Bayesian analysis can be more difficult to interpret, especially for those not familiar with the approach.
