The posterior probability error-rate estimates (Fukunaga and Kessell 1973; Glick 1978; Hora and Wilcox 1982) for each group are based on the posterior probabilities of the observations classified into ...

In statistical terms, the posterior probability is the probability of event A occurring given that event B has occurred. Example . For example, three acres of land have the labels A, B, and C.

For example, we could calculate the probability a team with a winning percentage of .600 wins six out of the next 10 games by plugging in p=.6, k= 6 and n=10 into the right side of the formula ...