The null hypothesis is the elaborate conspiracy theory that you happen to share with all your peers.
If your null hypothesis is full independence, you might never collect enough evidence to leave it behind, if the factor is small enough, so your priors matter. If you model successively more interdependences, you may even miss the path into really fat optima.
-
-
1. What do you mean by "null hypothesis is full independence"? Could you explain? 2. I think priors would matter in chaotic systems. But here ofcourse, choosing one's prior "wisely and cautiously", becomes the necessary thing.
-
1. If you assume that vaccines cannot impair brain development (causally independent variables), and in 0.1% of children they do, your sample size may never be large enough to force you to change your null hypothesis, and you would miss the effect.
- 3 more replies
New conversation -
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.