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Time Series Forecast Intervals using Circular Bootstrapped Training Simulation with Invariant Distance KNN Cover

Time Series Forecast Intervals using Circular Bootstrapped Training Simulation with Invariant Distance KNN

International Journal of Applied Mathematics and Computer Science
Volume 36 (2026): Issue 1 (March 2026)
By: Patchanok Srisuradetchai and  Parattakorn Kamlangdee  
Open Access
|Mar 2026
DOI: https://doi.org/10.61822/amcs-2026-0009 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 113 - 127
Submitted on: Jun 12, 2025
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Accepted on: Dec 15, 2025
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Published on: Mar 21, 2026
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
K-nearest neighbors,
circular block bootstrapping,
uncertainty quantification,
rolling-window forecasting
Related subjects:
Mathematics,
Applied mathematics

© 2026 Patchanok Srisuradetchai, Parattakorn Kamlangdee, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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