#posterior_probability
Posterior probability
Conditional probability used in Bayesian statistics
The posterior probability is a type of conditional probability that results from updating the prior probability with information summarized by the likelihood via an application of Bayes' rule. From an epistemological perspective, the posterior probability contains everything there is to know about an uncertain proposition, given prior knowledge and a mathematical model describing the observations available at a particular time. After the arrival of new - posterior or later in time - information, the current posterior probability may serve as the prior in another round of Bayesian updating.
Tue 20th
Provided by Wikipedia
This keyword could refer to multiple things. Here are some suggestions: