Composite Likelihood Inference for Multivariate Gaussian Random Fields

In the recent years, there has been a growing interest in proposing covariance models for multivariate Gaussian random fields. Some of these covariance models are very flexible and can capture both the marginal and the cross-spatial dependence of the components of the associated multivariate Gaussia...

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Autores:
Tipo de recurso:
Fecha de publicación:
2016
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/8981
Acceso en línea:
https://hdl.handle.net/20.500.12585/8981
Palabra clave:
Cross-covariance
Geostatistics
Large datasets
Computer simulation
Data set
Gaussian method
Geostatistics
Maximum likelihood analysis
Multivariate analysis
Chile
Rights
restrictedAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/