Bayesian Methods
Explore 5 AI terms in Bayesian Methods
Bayes’ Theorem
Bayes' Theorem is a mathematical formula used to calculate conditional probabilities, fundamental in statistics and machine learning.
Bayesian Belief Network
BBNA Bayesian Belief Network (BBN) is a graphical model that represents probabilistic relationships among variables.
Beta Distribution Prior
A Beta Distribution Prior is a statistical model used in Bayesian statistics to represent beliefs about probabilities.
Dynamic Bayesian Network
DBNA Dynamic Bayesian Network (DBN) models temporal processes using probability and graphical structures.
Gaussian Process
GPA Gaussian Process is a statistical method used for making predictions about uncertain functions.