A General Representation Theorem for Probability Functions Satisfying Spectrum Exchangeability

摘要

In the context of polyadic inductive logic we give a general representation theorem applicable to all probability functions satisfying Spectrum Exchangeability as the weighted difference of two probability functions satisfying Spectrum Exchangeability and Language Invariance.