On Vector ARMA Models Consistent with a Finite Matrix Covariance Sequence
Bin Zhu

TL;DR
This paper addresses the problem of matching covariance sequences with Vector ARMA models, establishing the existence of solutions through topological degree theory, which advances understanding of model fitting in multivariate time series.
Contribution
It introduces a novel formulation of the VARMA covariance matching problem and proves the existence of solutions using differential topology methods.
Findings
Existence of VARMA models matching given covariance sequences
Application of degree theory to establish solution existence
Theoretical foundation for covariance matching in multivariate models
Abstract
We formulate the so called "VARMA covariance matching problem" and demonstrate the existence of a solution using the degree theory from differential topology.
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Taxonomy
TopicsBayesian Methods and Mixture Models · Target Tracking and Data Fusion in Sensor Networks · Blind Source Separation Techniques
