.
denoted as f^​, to approximate this joint distribution. By estimating P(y,x) and acknowledging the symmetry of the joint probability, Bayes’ theorem can be applied to derive P(y∣x) and P(x∣y). This involves rearranging terms within the equations, as outlined briefly below: Utilizing Bayes’ theorem,