Mixing conditions of conjugate processes
Eduardo Horta, Flavio Ziegelmann
TL;DR
This paper establishes sufficient conditions under which the sequence of empirical cumulative distribution functions in a conjugate process exhibits a $\psi$-mixing property, contributing to the understanding of dependence structures.
Contribution
It provides new theoretical conditions guaranteeing $\psi$-mixing for empirical CDF sequences in conjugate processes, advancing dependence analysis.
Findings
Sufficient conditions for $\psi$-mixing are identified.
The results enhance understanding of dependence in conjugate processes.
The paper offers a theoretical framework for mixing properties.
Abstract
We give sufficient conditions ensuring that a -mixing property holds for the sequence of empirical CDFs associated to a conjugate process.
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
TopicsStatistical Methods and Inference · Bayesian Methods and Mixture Models