Jabarkan Statement of Bayes' theorem dari Téoréma Bayes dalam bahasa sunda

Bayes' théorem is a relation among conditional and marginal probabilities. It can be viewed as a méans of incorporating information, from an observation, for example, to produce a modified or updated probability distribution.

Suppose the marginal probability density function or probability mass function of a random variable X is

(be very careful to distinguish between the capital X and the lower-case x above!). This is the prior probability distribution of X. Suppose the conditional probability density function or probability mass function of Y given X = x (a function of y) is

As a function of x, this is the likelihood function

The likelihood function is not a probability density function or a probability mass function for X, since it need not integrate (or sum) over x to produce 1.