Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Emiko Dupont"'
Publikováno v:
Biometrics. 78:1309-1312
In this rejoinder, we set out some of the main points that we took from the discussions of our paper "Spatial+: A novel approach to spatial confounding." The comments provided by the discussants include excellent questions and suggestions for extensi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4ed6901d4171ceeb523a9de5c120456
https://doi.org/10.1111/biom.13653
https://doi.org/10.1111/biom.13653
Autor:
Nicole H. Augustin, Thomas Kjeldsen, Ilaria Prosdocimi, Theresa Smith, Daniel Simpson, Emiko Dupont
Publikováno v:
Prosdocimi, I, Dupont, E, Augustin, N, Kjeldsen, T, Simpson, D & Smith, T 2019, ' Areal models for spatially coherent trend detection: the case of British peak river flows ', Geophysical Research Letters, vol. 46, no. 22, pp. 13054-13061 . https://doi.org/10.1029/2019GL085142
With increasing concerns on the impacts of climate change, there is wide interest in understanding whether hydrometric and environmental series display any sort of trend. Many studies however, focus on the analysis of highly variable individual serie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d8b14b684436145eb08fbfd726acce2
https://doi.org/10.1029/2019gl085142
https://doi.org/10.1029/2019gl085142
Autor:
Tina Düren, Matthew Lennox, Malina Freitag, Malena Sabate Landman, Emiko Dupont, James Hook, Calum Hand, Gael Donval
MOFs and COFs are porous materials with a large variety of applications including gasstorage and separation. Synthesised in a modular fashion from distinct building blocks, anear in?nite number of structures can be constructed and the properties of t
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https://explore.openaire.eu/search/publication?articleId=doi_________::e42199dcbe8211d12382e737056dcda5
https://doi.org/10.26434/chemrxiv.14555706
https://doi.org/10.26434/chemrxiv.14555706
In spatial regression models, collinearity between covariates and spatial effects can lead to significant bias in effect estimates. This problem, known as spatial confounding, is encountered modelling forestry data to assess the effect of temperature
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https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4f742a7e1bc8d1be60ab8200a4960f3
http://arxiv.org/abs/2009.09420
http://arxiv.org/abs/2009.09420
Autor:
Emiko Dupont
Publikováno v:
Journal of the London Mathematical Society. 80:171-190
The complex manifold CP^n x CP^{n+1} with symplectic form \sigma_\mu=\sigma_{CP^n}+\mu\sigma_{CP^{n+1}}, where \sigma_{CP^n} and \sigma_{CP^{n+1}} are normalized Fubini-Study forms, n a natural number and \mu>1 a real number, contains a natural Lagra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59d71d2777095d653d9e4af605889265
https://doi.org/10.1112/jlms/jdp020
https://doi.org/10.1112/jlms/jdp020