R 2 D 2 : Accounting for temporal dependences in multivariate bias correction via analogue ranks resampling
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
R 2 D 2 : Accounting for temporal dependences in multivariate bias correction via analogue ranks resampling ; year:2020 ; pages:1-29
Geoscientific model development discussions ; (2020), 1-29
- Klassifikation
-
Geowissenschaften
- Urheber
-
Vrac, Mathieu
Thao, Soulivanh
- DOI
-
10.5194/gmd-2020-132
- URN
-
urn:nbn:de:101:1-2020070205272817377535
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:02 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Vrac, Mathieu
- Thao, Soulivanh
Ähnliche Objekte (12)
R 2 D 2 v2.0: accounting for temporal dependences in multivariate bias correction via analogue rank resampling
Improvements and Application of the STatistical Analogue Resampling Scheme STARS
Multivariate bias adjustment of high-dimensional climate simulations: The Rank Resampling for Distributions and Dependences (R 2 D 2 ) Bias Correction
Multivariate bias adjustment of high-dimensional climate simulations: the Rank Resampling for Distributions and Dependences (R 2 D 2 ) bias correction
Multivariate rank-based forecast combining techniques
Multivariate Rank-Based Forecast Combining Techniques
Compression-decompression of multivariate data via maximum entropy resampling and applications to inference
Multivariate reduced rank regression : theory and applications
Efficient multivariate approximation with transformed rank-1 lattices
Forecasting large datasets with reduced rank multivariate models
Efficient multivariate approximation with transformed rank-1 lattices
Jahresabschlussprüfung und Resampling-Verfahren
R 2 D 2 v2.0: accounting for temporal dependences in multivariate bias correction via analogue rank resampling
Improvements and Application of the STatistical Analogue Resampling Scheme STARS
Multivariate bias adjustment of high-dimensional climate simulations: The Rank Resampling for Distributions and Dependences (R 2 D 2 ) Bias Correction
Multivariate bias adjustment of high-dimensional climate simulations: the Rank Resampling for Distributions and Dependences (R 2 D 2 ) bias correction
Multivariate rank-based forecast combining techniques
Multivariate Rank-Based Forecast Combining Techniques
Compression-decompression of multivariate data via maximum entropy resampling and applications to inference
Multivariate reduced rank regression : theory and applications
Efficient multivariate approximation with transformed rank-1 lattices
Forecasting large datasets with reduced rank multivariate models
Efficient multivariate approximation with transformed rank-1 lattices
Jahresabschlussprüfung und Resampling-Verfahren
R 2 D 2 v2.0: accounting for temporal dependences in multivariate bias correction via analogue rank resampling
Improvements and Application of the STatistical Analogue Resampling Scheme STARS
Multivariate bias adjustment of high-dimensional climate simulations: The Rank Resampling for Distributions and Dependences (R 2 D 2 ) Bias Correction
Multivariate bias adjustment of high-dimensional climate simulations: the Rank Resampling for Distributions and Dependences (R 2 D 2 ) bias correction
Multivariate rank-based forecast combining techniques
Multivariate Rank-Based Forecast Combining Techniques
Compression-decompression of multivariate data via maximum entropy resampling and applications to inference
Multivariate reduced rank regression : theory and applications
Efficient multivariate approximation with transformed rank-1 lattices
Forecasting large datasets with reduced rank multivariate models
Efficient multivariate approximation with transformed rank-1 lattices