Testing independence between two spatial random fields

DOI10.1007/s13253-020-00421-3OpenAlexW3092453304MaRDI QIDQ2084410

Hsin-Cheng Huang, Ruey S. Tsay, Shih-Hao Huang, Guangming Pan

Publication date: 18 October 2022

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-020-00421-3

zbMATH Keywords

dimension reductioncanonical correlation analysisTracy-Widom distributionirregularly spaced datahigh-dimensional testmultiresolution spline basis functionsteleconnection

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Related Items (1)

Distance covariance for random fields

Uses Software

• PMA
• FRK

Cites Work

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• A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis
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• Canonical correlation coefficients of high-dimensional Gaussian vectors: finite rank case
• Independence test for high dimensional data based on regularized canonical correlation coefficients
• Fixed Rank Kriging for Very Large Spatial Data Sets
• Multivariate regression analysis and canonical variates
• On Consistency and Sparsity for Principal Components Analysis in High Dimensions
• RELATIONS BETWEEN TWO SETS OF VARIATES
• THE STATISTICAL SIGNIFICANCE OF CANONICAL CORRELATIONS

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