Approximate inference for spatial functional data on massively parallel processors

DOI10.1016/j.csda.2013.10.016zbMath1506.62152OpenAlexW2103097800WikidataQ60258621 ScholiaQ60258621MaRDI QIDQ1623412

Lars Lau Rakêt, Bo Markussen

Publication date: 23 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2013.10.016

zbMATH Keywords

Gaussian processesfunctional data analysisGPUlikelihood analysisfunctional mixed-effects modeloperator approximations

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Functional data analysis (62R10)

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Uses Software

• R
• fda (R)
• gss

Cites Work

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• On the Relation Between Green's Functions and Covariances of Certain Stochastic Processes and Its Application to Unbiased Linear Prediction
• Variational optic flow computation with a spatio-temporal smoothness constraint
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