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Consider a random vector $X\equiv (X_1,...,X_L)$. Assume that each $X_l$ is continuously distributed with support $\mathbb{R}$, for $l=1,...,L$. Does this imply that also $X$ should be continuously distributed (although, not necessarily with support $\mathbb{R}^L$)?

I clarify that, by support of $X_l$, I intend the smallest closed set $\mathcal{X}$ such that $Pr(X_l\in \mathcal{X})=1$.

Consider a random vector $X\equiv (X_1,...,X_L)$. Assume that each $X_l$ is continuously distributed with support $\mathbb{R}$, for $l=1,...,L$. Does this imply that also $X$ should be continuously distributed (although, not necessarily with support $\mathbb{R}^L$)?

Consider a random vector $X\equiv (X_1,...,X_L)$. Assume that each $X_l$ is continuously distributed with support $\mathbb{R}$, for $l=1,...,L$. Does this imply that also $X$ should be continuously distributed (although, not necessarily with support $\mathbb{R}^L$)?

I clarify that, by support of $X_l$, I intend the smallest closed set $\mathcal{X}$ such that $Pr(X_l\in \mathcal{X})=1$.

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If all the marginal distributions are continuous, then the joint distribution is continuous?

Consider a random vector $X\equiv (X_1,...,X_L)$. Assume that each $X_l$ is continuously distributed with support $\mathbb{R}$, for $l=1,...,L$. Does this imply that also $X$ should be continuously distributed (although, not necessarily with support $\mathbb{R}^L$)?