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When is it reasonable to formulate and test a null hypothesis? Could be the used assumptions explained in Bayesian terms? Or should Bayesians use something else?

Is it possible to compare it to the estimation of the posterior probability: P(h|data)?

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I don't see what you mean with this question, nor can I imagine what kind of answer you search. Could you please elaborate more? – Peter Smit Jul 21 '10 at 6:14
What do you mean by reasonable? I fully agree with Peter ! vote to close. – robin girard Jul 21 '10 at 6:30

closed as not a real question by Srikant Vadali, Peter Smit, robin girard, Mehper C. Palavuzlar, csgillespie Jul 21 '10 at 9:18

It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical and cannot be reasonably answered in its current form. For help clarifying this question so that it can be reopened, see the FAQ.