Why is Physics So Difficult?
Subscribe to Max Stirner . Benji Metha on Jaynes and Probability as Logical Inference So if there's another scientist in his audience, he is going to have to consider the probability of the results of the successive coin flips as being dependent on some hypotheses. For example, the scientist flipping the coins may not be using a fair coin, he may be basing the results on a distribution he observes from the predictions of the audience, or he may be using some mixture of these based on another random process he has invented, say by using one method if he throws four, five or six on a die, and the fair coin if he throws a one, a two or a three. Or he may be adjusting those mixtures according to how many heads or tails he has thrown so far, or, ... the possibilities are endless. So the Bayesian has to make some assumptions. The difference between the Bayesian and the frequentist is that the Bayesian will always have some idea of what their priors are conditioned on. In this case, the ...