Symbols

for all
there exists
union of two sets
intersection of two sets
* convolution operator
F(·) probability distribution function
C(u1, u2, . . . , ud) d-dimensional Copula probability distribution function.
images tail function images(x) = 1 − F(x)
f(·) probability density function
h(·) hazard rate given by images
ΦX[θ] characteristic function for random variable X
MX(t) moment-generating function of random variable X
F(n)*(·) n-fold convolution of distribution function with itself
F−1(·) inverse distribution function (quantile function)
Q(α) quantile function
U(y) = Q(1 − 1/y) tail quantile function
F(·) generalized inverse
g(·) ~ f(·) function g is asymptotic equivalent to f at infinity (unless specified otherwise)
X ~ F(·) random variable X is distributed according to F
X(k,n) kth largest sample from n samples, that is, the kth order statistic
VaRα[·] value at risk for level α
ESα[·] expected shortfall for level α
SRMα[·] spectral risk measure for level α
images space of integers
real line
complex plane
e{·} real component of complex number ...

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