Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/2972
Title: Causal predictability and weak solutions of the stochastic differential equations with driving semimartingales
Authors: Merkle, Ana 
Keywords: Causal predictability;Filtration;Stochastic differential equations;Weak solution;Weak uniqueness
Issue Date: 2023
Rank: M22
Publisher: Elsevier
Journal: Statistics and Probability Letters
Abstract: 
We consider causal relationships between σ-fields (filtrations) in continuous time and define the concept of dependence between filtrations, named causal predictability, which is based on the Granger's definition of causality. The concept of causality is analyzed using the tool of conditional independence. Then, we provide some properties of the given predictability concept. Finally, we apply the concept of causal predictability to the weak solutions of the stochastic differential equations (SDEs). © 2023 Elsevier B.V.
URI: https://research.matf.bg.ac.rs/handle/123456789/2972
DOI: 10.1016/j.spl.2023.109816
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