The joint probability density function \(f\) of two random variables \(X\) and \(Y\) satisfies, for every \(a_1 b_1\) and \(a_2 b_2\), \[ P(a_1\le X\le b_1, a_2\le Y ...

So far, you learned about discrete random variables and how to calculate or visualize their distribution functions. In this lesson, you'll learn about continuous variables and probability density ...

A Bayesian Network uses the Bayes theorem to operate and provides a simple way of using the Bayes Theorem to solve complex problems. In contrast to other methodologies where probabilities are ...