What is the difference between random and Bayesian methods?
Random methods typically rely on sampling without prior knowledge, while Bayesian methods incorporate prior beliefs.
Can you give me an example of each?
Sure! A random method could be rolling a die to get a number, while a Bayesian method might involve updating beliefs about a disease's prevalence based on new test results.
When should I use Bayesian methods over random methods?
Use Bayesian methods when you have prior information that can inform your analysis, especially in uncertain situations.
Are there any drawbacks to using Bayesian methods?
Yes, Bayesian methods can be computationally intensive and may require careful selection of prior distributions.
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