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Operator-theoretic framework for forecasting nonlinear time series with kernel analog techniques

Research article (Physica D Nonlinear Phenomena, 2020) · cited 64× · AI/ML
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Operator-theoretic framework for forecasting nonlinear time series with kernel analog techniques

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Operator-theoretic framework for forecasting nonlinear time series with kernel analog techniques is a scholarly article[1].

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  • Operator-theoretic framework for forecasting nonlinear time series with kernel analog techniques's instance of is recorded as scholarly article[2].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Operator-theoretic framework for forecasting nonlinear time series with kernel analog techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/operator-theoretic-framework-for-forecasting-nonlinear-time-series-with-kernel-analog-techniques
MLA “Operator-theoretic framework for forecasting nonlinear time series with kernel analog techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/operator-theoretic-framework-for-forecasting-nonlinear-time-series-with-kernel-analog-techniques.
BibTeX @misc{4ortxyz_operator-theoretic-framework-for-forecasting-nonlinear-time-series-with-kernel-analog-techniques_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Operator-theoretic framework for forecasting nonlinear time series with kernel analog techniques}}, year = {2026}, url = {https://4ort.xyz/entity/operator-theoretic-framework-for-forecasting-nonlinear-time-series-with-kernel-analog-techniques}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Operator-theoretic framework for forecasting nonlinear time series with kernel analog techniques — https://4ort.xyz/entity/operator-theoretic-framework-for-forecasting-nonlinear-time-series-with-kernel-analog-techniques (retrieved 2026-05-24)

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