  We derive two-sided estimates on moments and tails of Gaussian chaoses, that
is, random variables of the form $\sum a_{i_1,...,i_d}g_{i_1}... g_{i_d}$,
where $g_i$ are i.i.d. ${\mathcal{N}}(0,1)$ r.v.'s. Estimates are exact up to
constants depending on $d$ only.

Probability