Not exact matches
Bayes» theorem
implies that the (posterior)
probability distribution of an unknown parameter, in the light of data providing information on it, is given by multiplying a prior
probability distribution thereof by the data - derived likelihood function [i], and then normalizing to give a unit CDF
range.
``... the
range from its scenario simulations are «likely»,
implying > 66 % (and therefore that there is 24 %
probability that the temperature change will be outside the
range.»
But again the IPCC is pretty conservative, it states that the
range from its scenario simulations are «likely»,
implying > 66 % (and therefore that there is 24 %
probability that the temperature change will be outside the
range.