3. Random vectors

Here, we'll be looking more specifically at random variables with values in $ℝ^{d}$ , also known as random vectors. Let X be a random vector from (Ω, $⋐$ , P ) in $ℝ^{d}$ . Let $X = (X_{1}, \dots, X_{d})$ ...

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References

(1) - BOULEAU (N.) - Probabilités de l'ingénieur, variables aléatoires et simulation. - Hermann (1986).
(2) - BOUZITAT (C.), PAGÈS (G.) - En passant par hasard… Les probabilités de tous les jours. - Vuibert (1999).
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