Tailfree and Neutral Random Probabilities and Their Posterior Distributions

摘要: The random distribution function $F$ and its law is said to be neutral the right if $F(t_1), \lbrack F(t_2) - F(t_1) \rbrack/\lbrack 1 F(t_1)\rbrack, \cdots, F(t_k) F(t_{k-1}) \rbrack$ are independent whenever $t_1 < \cdots t_k$. posterior of a shown right. Characterizations these functions connections between neutrality general concepts tailfreeness (tailfreedom) given.