typo

lrnv · Sep 22, 2024 · 7a4664c · 7a4664c
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diff --git a/docs/src/archimedean/generalities.md b/docs/src/archimedean/generalities.md
@@ -93,7 +93,7 @@ In this package, we implemented it through the [`WilliamsonGenerator`](@ref) cla
 
 This function computes the Williamson d-transform of the provided random variable $X$ using the [`WilliamsonTransforms.jl`](https://github.com/lrnv/WilliamsonTransforms.jl) package. See [williamson1955multiply, mcneil2009](@cite) for the literature. 
 
-!!! warn "`max_monotony` of Williamson generators"
+!!! warning "`max_monotony` of Williamson generators"
     The $d$-transform of a positive random variable is $d$-monotonous but not $k$-monotonous for any $k > d$. Its max monotony is therefore $d$. This has a few implications, one of the biggest one is that the $d$-variate Archimedean copula that corresponds has no density. 
 
     More genrally, if you want your Archimedean copula to have a density, you have to use a generator that is more-monotonous that the dimension of your model. 

diff --git a/src/SklarDist.jl b/src/SklarDist.jl
@@ -11,7 +11,7 @@ Constructor
 
 This function allows to construct a random vector specified, through the Sklar Theorem, by its marginals and its copula separately. See [Sklar's theorem](https://en.wikipedia.org/wiki/Copula_(probability_theory)#Sklar's_theorem):
 
-!!!theorem "Theorem (Sklar 1959):"
+!!! theorem "Theorem (Sklar 1959):"
     For every random vector ``\\bm X``, there exists a copula ``C`` such that 
 
     ``\\forall \\bm x\\in \\mathbb R^d, F(\\bm x) = C(F_{1}(x_{1}),...,F_{d}(x_{d})).``