On a dyadic approximation of predictable processes of finite variation
Pietro Siorpaes

TL;DR
This paper demonstrates that predictable processes of finite variation can be approximated by elementary processes, leading to classical results about predictable stopping times and increasing processes.
Contribution
It introduces a dyadic approximation method for predictable processes of finite variation, providing new insights into their structure and properties.
Findings
Predictable stopping times can be approximated from below by finitely-valued predictable stopping times.
Predictable processes of finite variation are limits of elementary predictable processes.
Classical theorems on predictability and naturalness of increasing processes are derived.
Abstract
We show that any cadlag predictable process of finite variation is an a.s. limit of elementary predictable processes; it follows that predictable stopping times can be approximated `from below' by predictable stopping times which take finitely many values. We then obtain as corollaries two classical theorems: predictable stopping times are announceable, and an increasing process is predictable iff it is natural.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPhilosophy and History of Science · Statistical Methods in Clinical Trials · Reservoir Engineering and Simulation Methods
