Thakur here,
My question is regarding the joint pdf of the input and output of a system. Lets say I have a system represented by a deterministic function Y = g(X).
Lets say X is uniformly distributed.
I know I can find pdf of Y "p(y)" using standard textbook techniques. However, is it possible to find the joint (or conditional) distribution of X and Y given the knowledge of p(X) and g(X)..?
Or would it be fair to say that p(y) represents the conditional distribution of Y given X.
Pointers to worked examples would be very helpful.
Thanks in advance.
My question is regarding the joint pdf of the input and output of a system. Lets say I have a system represented by a deterministic function Y = g(X).
Lets say X is uniformly distributed.
I know I can find pdf of Y "p(y)" using standard textbook techniques. However, is it possible to find the joint (or conditional) distribution of X and Y given the knowledge of p(X) and g(X)..?
Or would it be fair to say that p(y) represents the conditional distribution of Y given X.
Pointers to worked examples would be very helpful.
Thanks in advance.