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An additive approximate Gaussian process model for large spatio‐temporal data

Research article (Environmetrics, 2019) · cited 11× · AI/ML
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An additive approximate Gaussian process model for large spatio‐temporal data

Summary

An additive approximate Gaussian process model for large spatio‐temporal data is a scholarly article[1].

Key Facts

  • An additive approximate Gaussian process model for large spatio‐temporal data's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). An additive approximate Gaussian process model for large spatio‐temporal data. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-additive-approximate-gaussian-process-model-for-large-spatiotemporal-data
MLA “An additive approximate Gaussian process model for large spatio‐temporal data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-additive-approximate-gaussian-process-model-for-large-spatiotemporal-data.
BibTeX @misc{4ortxyz_an-additive-approximate-gaussian-process-model-for-large-spatiotemporal-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An additive approximate Gaussian process model for large spatio‐temporal data}}, year = {2026}, url = {https://4ort.xyz/entity/an-additive-approximate-gaussian-process-model-for-large-spatiotemporal-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An additive approximate Gaussian process model for large spatio‐temporal data — https://4ort.xyz/entity/an-additive-approximate-gaussian-process-model-for-large-spatiotemporal-data (retrieved 2026-05-24)

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