Visual Analytics for Development and Evaluation of Order Selection Criteria for Autoregressive Processes

IEEE Trans. Vis. Comput. Graph., pp. 151-159, 2016.

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Abstract:

Order selection of autoregressive processes is an active research topic in time series analysis, and the development and evaluation of automatic order selection criteria remains a challenging task for domain experts. We propose a visual analytics approach, to guide the analysis and development of such criteria. A flexible synthetic model ...More

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