• Corpus ID: 202577839

# Localizing Changes in High-Dimensional Vector Autoregressive Processes

@article{Wang2019LocalizingCI,
title={Localizing Changes in High-Dimensional Vector Autoregressive Processes},
author={Daren Wang and Yi Yu and Alessandro Rinaldo and Rebecca M. Willett},
journal={arXiv: Statistics Theory},
year={2019}
}
• Published 12 September 2019
• Computer Science
• arXiv: Statistics Theory
Autoregressive models capture stochastic processes in which past realizations determine the generative distribution of new data; they arise naturally in a variety of industrial, biomedical, and financial settings. Often, a key challenge when working with such data is to determine when the underlying generative model has changed, as this can offer insights into distinct operating regimes of the underlying system. This paper describes a novel dynamic programming approach to localizing changes in…

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