FIC-UAI Publication Database -- Query Results

	FIC-UAI Publication Database Home \| Show All \| Simple Search \| Advanced Search	Login Quick Search: Field: contains: ...
	1-1 of 1 record found matching your query:

Search & Display Options

Select All Deselect All

<< 1 >>

|

|

Details

	Record						Links
	Author	Caamaño-Carrillo, C.; Bevilacqua, M.; López, C.; Morales-Oñate, V.
	Title	Nearest neighbors weighted composite likelihood based on pairs for (non-)Gaussian massive spatial data with an application to Tukey-hh random fields estimation			Type
	Year	2024	Publication	Computational Statistics & Data Analysis	Abbreviated Journal	Comput. Stat. Data Anal.
	Volume	191	Issue		Pages	107887
	Keywords	Covariance estimation; Geostatistics; Large datasets; Vecchia approximation
	Abstract	A highly scalable method for (non-)Gaussian random fields estimation is proposed. In particular, a novel (a) symmetric weight function based on nearest neighbors for the method of maximum weighted composite likelihood based on pairs (WCLP) is studied. The new weight function allows estimating massive (up to millions) spatial datasets and improves the statistical efficiency of the WCLP method using symmetric weights based on distances, as shown in the numerical examples. As an application of the proposed method, the estimation of a novel non-Gaussian random field named Tukey-hh random field that has flexible marginal distributions (possibly skewed and/or heavy-tailed) is considered. In an extensive simulation study the statistical efficiency of the proposed nearest neighbors WCLP method with respect to the WCLP method using weights based on distances is explored when estimating the parameters of the Tukey-hh random field. In the Gaussian case the proposed method is compared with the Vecchia approximation from computational and statistical viewpoints. Finally, the effectiveness of the proposed methodology is illustrated by estimating a large dataset of mean temperatures in South -America. The proposed methodology has been implemented in an open-source package for the R statistical environment.
	Address
	Corporate Author				Thesis
	Publisher		Place of Publication		Editor
	Language		Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	0167-9473	ISBN		Medium
	Area		Expedition		Conference
	Notes	WOS:001166253600001			Approved
	Call Number	UAI @ alexi.delcanto @			Serial	1956
Permanent link to this record

Select All Deselect All

<< 1 >>

|

|

Details

All Found Records Selected Records:

Save Citations: Format:

Export Records: Format:

CQL Search | Library Search | Show Record | Extract Citations