Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis

Research article (The Annals of Applied Statistics, 2016) · cited 119× · AI/ML
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Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis

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Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/nonseparable-dynamic-nearest-neighbor-gaussian-process-models-for-large-spatio-temporal-data-with-an-application-to-part
MLA “Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/nonseparable-dynamic-nearest-neighbor-gaussian-process-models-for-large-spatio-temporal-data-with-an-application-to-part.
BibTeX @misc{4ortxyz_nonseparable-dynamic-nearest-neighbor-gaussian-process-models-for-large-spatio-temporal-data-with-an-application-to-part_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis}}, year = {2026}, url = {https://4ort.xyz/entity/nonseparable-dynamic-nearest-neighbor-gaussian-process-models-for-large-spatio-temporal-data-with-an-application-to-part}, note = {Accessed: 2026-05-24}}
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