Tucker tensor analysis of Matern functions in spatial statistics

dc.contributor.author	Litvinenko, Alexander
dc.date.accessioned	2018-04-22T06:57:58Z
dc.date.available	2018-04-22T06:57:58Z
dc.date.issued	2018-04-20
dc.identifier.uri	http://hdl.handle.net/10754/627580
dc.description.abstract	Low-rank Tucker tensor methods in spatial statistics 1. Motivation: improve statistical models 2. Motivation: disadvantages of matrices 3. Tools: Tucker tensor format 4. Tensor approximation of Matern covariance function via FFT 5. Typical statistical operations in Tucker tensor format 6. Numerical experiments
dc.description.sponsorship	KAUST
dc.subject	Tucker tensor
dc.subject	Matern covariance
dc.subject	Laplace transform
dc.subject	sinc-quadrature
dc.subject	Laplace
dc.subject	Low-Rank
dc.title	Tucker tensor analysis of Matern functions in spatial statistics
dc.type	Presentation
dc.contributor.department	Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.conference.date	15-20 April 2018
dc.conference.name	SIAM UQ 2018 Conference
dc.conference.location	Orange County, CA, USA
refterms.dateFOA	2018-06-14T05:55:09Z

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