Non-separable dynamic nearest-neighbor gaussian process models for large spatio-temporal data with an application to particulate matter analysis

A. Datta; Sudipto Banerjee; A.O. Finley; N.A.S. Hamm; A. Schaap

Non-separable dynamic nearest-neighbor gaussian process models for large spatio-temporal data with an application to particulate matter analysis

A. Datta, Sudipto Banerjee, A.O. Finley, N.A.S. Hamm, A. Schaap

Department of Earth Observation Science

Research output: Non-textual form › Web publication/site › Other research output

Original language	English
Place of Publication	Washington, D.C.
Publisher	ArXiv.org
Publication status	Published - 4 Oct 2015

Keywords

METIS-314159

Access to Document

http://arxiv.org/abs/1510.07130

Cite this

@misc{931ed0690310401c969a32c05619128b,

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

keywords = "METIS-314159",

author = "A. Datta and Sudipto Banerjee and A.O. Finley and N.A.S. Hamm and A. Schaap",

year = "2015",

month = oct,

day = "4",

language = "English",

publisher = "ArXiv.org",

}