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
Main Authors: Salim, Agus, Pawitan, Yudi, Bond, K
Format: Article in Journal/Newspaper
Language:unknown
Published: Blackwell Publishing Ltd 2015
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
id ftanucanberra:oai:digitalcollections.anu.edu.au:1885/80235
record_format openpolar
spelling ftanucanberra:oai:digitalcollections.anu.edu.au:1885/80235 2023-05-15T17:29:18+02:00 Modelling association between two irregularly observed spatio-temporal processes by using smoothed maximum covariance analysis Salim, Agus Pawitan, Yudi Bond, K 2015-12-13T22:48:48Z http://hdl.handle.net/1885/80235 unknown Blackwell Publishing Ltd 0035-9254 http://hdl.handle.net/1885/80235 Journal of the Royal Statistical Society Series C Keywords: Canonical covariance Climate changes Incomplete data Mixed models Partial least squares Smoothing Journal article 2015 ftanucanberra 2015-12-21T23:52:31Z 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 Article in Journal/Newspaper North Atlantic North Atlantic oscillation Australian National University: ANU Digital Collections
institution Open Polar
collection Australian National University: ANU Digital Collections
op_collection_id ftanucanberra
language unknown
topic Keywords: Canonical covariance
Climate changes
Incomplete data
Mixed models
Partial least squares
Smoothing
spellingShingle Keywords: Canonical covariance
Climate changes
Incomplete data
Mixed models
Partial least squares
Smoothing
Salim, Agus
Pawitan, Yudi
Bond, K
Modelling association between two irregularly observed spatio-temporal processes by using smoothed maximum covariance analysis
topic_facet Keywords: Canonical covariance
Climate changes
Incomplete data
Mixed models
Partial least squares
Smoothing
description 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
format Article in Journal/Newspaper
author Salim, Agus
Pawitan, Yudi
Bond, K
author_facet Salim, Agus
Pawitan, Yudi
Bond, K
author_sort Salim, Agus
title Modelling association between two irregularly observed spatio-temporal processes by using smoothed maximum covariance analysis
title_short Modelling association between two irregularly observed spatio-temporal processes by using smoothed maximum covariance analysis
title_full Modelling association between two irregularly observed spatio-temporal processes by using smoothed maximum covariance analysis
title_fullStr Modelling association between two irregularly observed spatio-temporal processes by using smoothed maximum covariance analysis
title_full_unstemmed Modelling association between two irregularly observed spatio-temporal processes by using smoothed maximum covariance analysis
title_sort modelling association between two irregularly observed spatio-temporal processes by using smoothed maximum covariance analysis
publisher Blackwell Publishing Ltd
publishDate 2015
url http://hdl.handle.net/1885/80235
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_source Journal of the Royal Statistical Society Series C
op_relation 0035-9254
http://hdl.handle.net/1885/80235
_version_ 1766123180155469824

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