Understanding the Differences Between Bayesian and Frequentist ...

we get an answer to our causal query, such as “Drug D increases the Lifespan L of diabetic Patients Z by 30 percent, plus or minus 20 percent.”

quality metrics are evaluated using probability distributions.

Bayesians are concerned above all with uncertainty. All learned knowledge is uncertain, and learning itself is a form of uncertain inference. The problem then becomes how to deal with noisy, incomplete, and even contradictory information without falling apart. The solution is probabilistic inference, and the

Another way of thinking about it is that p-values tell us how likely it is that another experiment would have the same results.

compare two treatments and see which tends to work better overall.