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Feb 21, 2020 at 0:51 comment added Hafees Adebayo Yusuff Can someone please tell me the statement of azuma inequality
Aug 15, 2012 at 8:22 vote accept Patt Geffrey
Aug 14, 2012 at 23:02 answer added Brendan McKay timeline score: 1
Aug 14, 2012 at 21:02 comment added Bill Johnson The absolute values $|d_k|$ of the martingale differences can have any joint distribution subject to the boundedness constraint, so you can make the exceptional sets disjoint for a long time and $|d_k|$ large on the $k$-th exceptional set $A_k$. Piecing things together, you get a counterexample if $\Bbb{P}(A_k)\to 0$ but is not summable.
Aug 14, 2012 at 18:17 comment added Mark Meckes @Patt: As fuzzytron says, "almost surely" means with probability equal to 1. You apparently mean what people sometimes call "asymptotically almost surely". I doubt there is a nice result under such a weak assumption as you stated in the comment above. If you don't really need the martingale structure, Hoeffding's inequality for independent random variables extends to a subgaussian tail condition.
Aug 14, 2012 at 17:41 comment added Patt Geffrey The sequence is not necessarily non-increasing as for two distinct values of $N$ and fixed $k$, $P(|X_k - X_{k-1}|)$ is not necessarily equal.
Aug 14, 2012 at 17:00 comment added Mateusz Wasilewski But this sequence of probabilities is clearly nonincreasing, so it has to be constantly equal to 1; thus, assumptions of Azuma's inequality are satisfied.
Aug 14, 2012 at 16:54 comment added Patt Geffrey If the martingales considered is $(X_k)_{k=1}^{N}$, what I mean is that $\mathbb{P}(\forall k, |X_k - X_{k-1}| < c_k) \to 1$ as $N$ goes to $\infty$.
Aug 14, 2012 at 16:38 comment added Mateusz Wasilewski What do you mean by high probability? Do you just want $|X_k - X_{k-1}|< c_{k}$ to hold with probability tending to $1$, as $k \to \infty$? I guess, that when this convergence is fast enough, then some sort of Azuma's inequality still holds, but only for tails distant enough and, of course, with worse constants. I haven't thought about it too long, so I may be wrong.
Aug 14, 2012 at 16:31 comment added Patt Geffrey Yes, I mean almost surely instead of surely.
Aug 14, 2012 at 16:26 comment added TerronaBell Do you mean almost surely vs. surely? Almost surely implies probability 1...
Aug 14, 2012 at 16:18 history asked Patt Geffrey CC BY-SA 3.0