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

Abhirup Datta; Sudipto Banerjee; Andrew O. Finley; Nicholas A.S. Hamm; Martijn Schaap

doi:10.1214/16-AOAS931

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

Abhirup Datta, Sudipto Banerjee, Andrew O. Finley, Nicholas A.S. Hamm, Martijn Schaap

Department of Earth Observation Science

Research output: Contribution to journal › Article › Academic › peer-review

80 Citations (Scopus)

140 Downloads (Pure)

Original language	English
Pages (from-to)	1286-1316
Journal	Annals of applied statistics
Volume	10
Issue number	3
DOIs	https://doi.org/10.1214/16-AOAS931
Publication status	Published - 2016

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10.1214/16-AOAS931

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Cite this

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

author = "Abhirup Datta and Sudipto Banerjee and Finley, {Andrew O.} and Hamm, {Nicholas A.S.} and Martijn Schaap",

year = "2016",

doi = "10.1214/16-AOAS931",

language = "English",

volume = "10",

pages = "1286--1316",

journal = "Annals of applied statistics",

issn = "1932-6157",

publisher = "Institute of Mathematical Statistics",

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T1 - Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis

AU - Datta, Abhirup

AU - Banerjee, Sudipto

AU - Finley, Andrew O.

AU - Hamm, Nicholas A.S.

AU - Schaap, Martijn

PY - 2016

Y1 - 2016

U2 - 10.1214/16-AOAS931

DO - 10.1214/16-AOAS931

M3 - Article

SN - 1932-6157

VL - 10

SP - 1286

EP - 1316

JO - Annals of applied statistics

JF - Annals of applied statistics

IS - 3

ER -