Modelling association between two irregularly observed spatio-temporal processes by using smoothed maximum covariance analysis

Climatic phenomena such as the El-Niño-southern oscillation and the north Atlantic oscillation are results of complex interactions between atmospheric and oceanic processes. Understanding the interactions has enabled scientists to give early warning of t

Bibliographic Details
Published in:Journal of the Royal Statistical Society: Series C (Applied Statistics)
Main Authors: Salim, Agus, Pawitan, Yudi, Bond, K
Format: Article in Journal/Newspaper
Language:unknown
Published: Blackwell Publishing Ltd
Subjects:
Keywords: Canonical covariance
Climate changes
Incomplete data
Mixed models
Partial least squares
Smoothing
North Atlantic
North Atlantic oscillation
Online Access:http://hdl.handle.net/1885/80235
https://doi.org/10.1111/j.1467-9876.2005.05300.x
https://openresearch-repository.anu.edu.au/bitstream/1885/80235/5/MigratedxPub8523_2005.pdf.jpg
https://openresearch-repository.anu.edu.au/bitstream/1885/80235/7/01_Salim_Modelling_association_between_2005.pdf.jpg
Description
Summary:Climatic phenomena such as the El-Niño-southern oscillation and the north Atlantic oscillation are results of complex interactions between atmospheric and oceanic processes. Understanding the interactions has enabled scientists to give early warning of t

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