Multivariate Probability Distributions Random Vectors and Joint Probability Distributions Random Vectors and Joint Probability Distributions Example 1 (5.1).[Bivariate Copula] Put U=Fx(X),V=Fy(Y).Then both the probability in- tegral transforms U and V are U[0,1]random variables.The joint CDF of (U,V) C(u,v)=P(U≤u,V≤v) is called the copula associated with the joint probability dis- tribution of (X,Y).The copula C(u,v)is closely related to the joint CDF Fxy(x,y). Multivariate Probability Distributions Introduction to Statistics and Econometrics July1,2019 10/370Multivariate Probability Distributions Multivariate Probability Distributions Introduction to Statistics and Econometrics July 1, 2019 10/370 Example 1 (5.1). [Bivariate Copula] Random Vectors and Joint Probability Distributions Random Vectors and Joint Probability Distributions