Approximate inference for spatial functional data on massively parallel processors
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سال
: 2014شناسه الکترونیک: 10.1016/j.csda.2013.10.016
کلیدواژه(گان): Functional data analysis,Functional mixed,Gaussian processes,GPU,Likelihood analysis,Operator approximations
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Approximate inference for spatial functional data on massively parallel processors
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contributor author | Rakêt, Lars Lau - Markussen, Bo | |
date accessioned | 2020-03-11T15:43:43Z | |
date available | 2020-03-11T15:43:43Z | |
date issued | 2014 | |
identifier issn | 0167-9473 | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/582987 | |
format | general | |
language | English | |
publisher | Elsevier Science | |
title | Approximate inference for spatial functional data on massively parallel processors | |
type | Journal Paper | |
contenttype | Metadata Only | |
identifier padid | 4443279 | |
subject keywords | Functional data analysis | |
subject keywords | Functional mixed | |
subject keywords | Gaussian processes | |
subject keywords | GPU | |
subject keywords | Likelihood analysis | |
subject keywords | Operator approximations | |
identifier doi | 10.1016/j.csda.2013.10.016 | |
journal title | Computational Statistics & Data Analysis | |
journal volume | 72 | |
journal issue | 0 | |
filesize | 1631213 | |
citations | 0 |