Conditioning (probability)
Beliefs depend on the available information. This idea is formalized in probability theory by conditioning. Conditional probabilities, conditional expectations and conditional distributions are treated on three levels: discrete probabilities, probability density functions, and measure theory. Conditioning leads to a non-random result if the condition is completely specified; otherwise, if the condition is left random, the result of conditioning is also random.
This article concentrates on interrelations between various kinds of conditioning, shown mostly by examples. For systematic treatment (and corresponding literature) see more specialized articles mentioned below.
Read more about Conditioning (probability): Conditioning On The Discrete Level, Conditioning On The Level of Densities, What Conditioning Is Not, Conditioning On The Level of Measure Theory
Famous quotes containing the word conditioning:
“The climacteric marks the end of apologizing. The chrysalis of conditioning has once for all to break and the female woman finally to emerge.”
—Germaine Greer (b. 1939)