Ergodic theorems in dynamic imprecise probability kinematics
International Journal of Approximate Reasoning (IJAR), 2020
Abstract
We formulate an ergodic theory for the limit of a sequence of successive dynamic imprecise probability kinematics (DIPK, introduced in \cite{prob.kin}) updates of a set representing the initial beliefs of an agent. As a consequence, we formulate a strong law of large numbers.
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