Approximate inference for spatial functional data on massively parallel processors
Author:
Publisher:
Year
: 2014DOI: 10.1016/j.csda.2013.10.016
Keyword(s): Functional data analysis,Functional mixed,Gaussian processes,GPU,Likelihood analysis,Operator approximations
Collections
:
-
Statistics
Approximate inference for spatial functional data on massively parallel processors
Show full item record
| 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?locale-attribute=en | |
| 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 |