What is the difference between using a joint probability density function to calculate the joint probabilities of observations/samples and simply multiplying out a probability tree to find the probabilities of certain events? The way I see it, a probability tree is just a visual representation of a discreet random variable that only takes values of 1 and 0 whereas the joint probability density function enables you to work with other types of functions?