On the association and other forms of positive dependence for Feller processes
Eddie Tu

TL;DR
This paper characterizes various positive dependence structures in jump-Feller processes using their Levy measures and applies these results to several classes of stochastically monotone processes.
Contribution
It provides a novel characterization of positive dependence for jump-Feller processes via Levy measures, extending understanding of dependence in stochastic processes.
Findings
Characterization of association and positive dependence in jump-Feller processes.
Application of results to Levy processes, Ornstein-Uhlenbeck, and subordinated Feller processes.
Insights into dependence structures through Levy measures.
Abstract
We characterize various forms of positive dependence, such as association, positive supermodular association and dependence, and positive orthant dependence, for jump-Feller processes. Such jump processes can be studied through their state-space dependent Levy measures. It is through these Levy measures where we will provide our characterization. Finally, we present applications of these results to stochastically monotone Feller processes, including Levy processes, the Ornstein-Uhlenbeck process, pseudo-Poisson processes, and subordinated Feller processes.
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Taxonomy
TopicsStochastic processes and financial applications · Probability and Risk Models · Random Matrices and Applications
