Evidence map›Paper›PMID 31680764›Full record

ArticleEnvironmetrics2019

On spatial conditional extremes for ocean storm severity.

R Shooter, E Ross, J Tawn, P Jonathan

Abstract read
In one paragraph

Article in Environmetrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

R ShooterSTOR-i Centre for Doctoral Training, Department of Mathematics and Statistics Lancaster University Lancaster UK.ORCID https://orcid.org/0000-0002-2529-0249
E RossShell Global Solutions International BV Amsterdam The Netherlands.
J TawnDepartment of Mathematics and Statistics Lancaster University Lancaster UK.
P JonathanDepartment of Mathematics and Statistics Lancaster University Lancaster UK.ORCID https://orcid.org/0000-0001-7651-9181

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe a model for the conditional dependence of a spatial process measured at one or more remote locations given extreme values of the process at a conditioning location, motivated by the conditional extremes methodology of Heffernan and Tawn. Compared to alternative descriptions in terms of max-stable spatial processes, the model is advantageous because it is conceptually straightforward and admits different forms of extremal dependence (including asymptotic dependence and asymptotic independence). We use the model within a Bayesian framework to estimate the extremal dependence of ocean storm severity (quantified using significant wave height,

Indexed as

conditional extremesnonstationarysignificant wave heightspatial dependence

Identifiers

PMID31680764
PMCPMC6813651

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.