Continuity of imprecise stochastic processes with respect to the pointwise convergence of monotone sequences
Jasper De Bock, Gert de Cooman

TL;DR
This paper proves the continuity of the joint lower expectation of finite-state imprecise stochastic processes with respect to pointwise convergence of monotone sequences, using Ville-Vovk-Shafer and Williams extensions.
Contribution
It establishes new continuity results for lower expectations in imprecise stochastic processes under monotone convergence, extending prior theoretical understanding.
Findings
Continuity holds for non-decreasing sequences of functions.
Similar continuity results are shown for non-increasing sequences converging to bounded functions.
Results apply to both Ville-Vovk-Shafer and Williams natural extensions.
Abstract
We consider the joint lower expectation of a finite-state imprecise stochastic process, defined using either the Ville-Vovk-Shafer natural extension or the Williams natural extension. In both cases, we show that it is continuous with respect to the pointwise convergence of non-decreasing sequences of real-valued functions , , where each is -measurable. For the Ville-Vovk-Shafer natural extension, a similar result is shown to hold for non-increasing sequences, provided that they converge to a bounded function.
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Taxonomy
TopicsFuzzy Systems and Optimization · Economic theories and models · Stochastic processes and financial applications
