A theorem in probability theory concerned with determining the conditional probability of an event when another event has occurred. Bayes' theorem allows revision of the original probability with new
information. Its simplest form is: P(A|B) = P(B|A) P(A)/P(B), where P(A): independent probability of A, also called prior probability; P(B): independent probability of B; P(B|A): conditional probability of B given A has occurred; P(A|B): conditional probability of A given B has occurred, also called posterior probability. Same as Bayes' rule.
1.Any recently formed sea ice that is sufficiently thick to impede navigation. 2.In Labrador, one-year ice that forms in bays and inlets. 3.In the Antarctic, sometimes applied to heavy floes recently
broken away from an ice shelf.