a theorem describing how the conditional probability of each of a set of possible causes, given an observed outcome, can be computed from knowledge of the probability of each cause and of the conditional probability of the outcome, given each cause.
(statistics) the fundamental result which expresses the conditional probability P(E/A) of an event E given an event A as P(A/E).P(E)/P(A); more generally, where En is one of a set of values Ei which partition the sample space, P(En/A) = P(A/En)P(En)/Σ P(A/Ei)P(Ei). This enables prior estimates of probability to be continually revised in the light of observations
of or relating to statistical methods that regard parameters of a population as random variables having known probability distributions. Contemporary Examples A good Bayesian–and aren’t most of us are supposed to be good Bayesians these days? Study: Giving People Government Health Insurance May Not Make them Any Healthier Megan McArdle April 30, 2013 Historical Examples […]
a town in Calvados, N France, in Normandy, near the English Channel: museum displaying the Bayeux tapestry, commemorating the Norman conquest of England in 1066. Contemporary Examples A few miles south of the city of Bayeux is one of the smallest cemeteries. The Deadly Trap Behind D-Day’s Beaches Clive Irving June 4, 2014 Historical Examples […]
- Bayeux tapestry
a strip of embroidered linen 231 feet (70 meters) long and 20 inches (50 cm) wide, depicting the Norman conquest of England and dating from c1100. Historical Examples What can you discover about the Normans from the pictures of the Bayeux tapestry? Britain in the Middle Ages Florence L. Bowman Mention should also be made […]
- Bayezid ii
noun ?1447–1512, sultan of Turkey; he greatly extended Turkish dominions in Greece and the Balkans