Finite-dimensional distribution
= Finite-dimensional distribution
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For times $t_1,\ldots,t_n$, the corresponding finite-dimensional distribution of a <stochastic process> $X$ is the <joint probability distribution> of the <random vector> $(X_{t_1},\ldots,X_{t_n})$. The collection of these distributions records every finite set of coordinates of the process.