Maximum Likelihood / Bayesian (3).

• Bayesian variant — if the user has prior knowledge that class probabilities are NOT equal, they can specify weight factors per class.
• Reference: Hord 1982.

Characteristics: - The most accurate classifier of the four, when assumptions hold. - Takes the most variables into account (means, covariances, priors). - But: if the bands are not normally distributed, Parallelepiped or Min Distance may actually give better results.