Conditioning (probability)

In probability theory, conditioning refers to the process of updating probabilities when new information or evidence is provided. The idea is to understand how the probability of an event changes when we know that another event has occurred. This concept is fundamental in statistics, Bayesian inference, and various applications in fields such as machine learning, finance, and risk assessment.