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5
votes
Martingale version of Bernstein-type inequality for (slightly) heavy-tailed distributions?
This is worked out in some detail in the paper of Fan, Grama and Liu,
J. Math Anal. Appl. 448 (2017), 538-566 (see in particular Theorem 2.1 there, and the references). Unfortunately I do not have an …
3
votes
Why sum of samples without replacement is more concentrated than with replacement?
Another way to measure the concentration is through the rate function, which is larger for $Y$ than for $X$. See Section 7.2 of Dembo-Zeitouni "Large Deviations Techniques and Applications".
2
votes
Accepted
reverse FKG type inequality for slightly correlated Gaussian vectors
In this formulation, it still isn't true.
Take $\{X_i\}_{i=1}^n$i.i.d standard Gaussian. Take $\{Y_i\}_{i=1}^{n-1}$ i.i.d. standard Gaussian. Take $Y_n=\sum_{i=1}^n X_i/\sqrt{n}$. Then $|EX_i Y_j|\leq …
7
votes
Accepted
Concentration of sum of powers of normals
For $p>1$, the random variables you discuss do not possess exponential moments; You are in the regime of large deviations with stretched exponential tails. See for example the following recent paper b …
2
votes
Accepted
Variance of maximum of mixture of gaussians
A general bound on the variance is given by the Borell (Tsirelson-Ibragimov-Sudakov) inequality, see
http://webee.technion.ac.il/people/adler/borell.pdf
Without more structure on A I don't think i …
4
votes
What is the spectral norm of a random projection times a diagonal?
I think the following answers your question (and more):
http://www-personal.umich.edu/~romanv/papers/product-random-deterministic.pdf
3
votes
Asymptotic Expansion of Distribution in Central Limit Theorem for Non-Identically Distribute...
There is a large literature, too long to review here. Deheuvels 1989 and Chistyakov 1996 come to mind. But also try:
Google search
and consider the relevant hits. Hope this helps.
2
votes
Local concentration of measure on Erdos-Rényi graph
Why not use second moment? For fixed $r$, the correlation between the events that $B_{G_n}(v,r)$ is a tree and the same event for $v'\neq v$ is small, of order $f(c)/n$. Try $r=2$ to see what I mean. …