by Jayde Thompson


Bayesian statistics is a branch of statistics that relies on subjective probabilities to draw conclusions and learn from data. Basically, Bayes’ theorem is used to predict outcomes using prior information about an event, and one’s inferences about parameters are updated with each piece of evidence or data point.

Bayes’ Theorem:

Let A and B be events and  P(B) != 0, then the probability of event A occurring given B is

P(A|B) =P(B|A)P(A)/P(B)

where P(A) and P(B) are probabilities of the event occurring independently

Additional information