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pro vyhledávání: '"Alexander I. Jordan"'
Publikováno v:
Weather and Climate Extremes, Vol 32, Iss , Pp 100310- (2021)
Statistical post-processing is an indispensable tool for providing accurate weather forecasts and early warnings for weather extremes. Most statistical post-processing is univariate, with dependencies introduced via use of an empirical copula. Standa
Externí odkaz:
https://doaj.org/article/34c38fc3f28649958276f0055b9a0a90
Autor:
Tilmann Gneiting, Daniel Wolffram, Johannes Resin, Kristof Kraus, Johannes Bracher, Timo Dimitriadis, Veit Hagenmeyer, Alexander I. Jordan, Sebastian Lerch, Kaleb Phipps, Melanie Schienle
Publikováno v:
Annual Review of Statistics and Its Application. 10:597-621
Model diagnostics and forecast evaluation are closely related tasks, with the former concerning in-sample goodness (or lack) of fit and the latter addressing predictive performance out-of-sample. We review the ubiquitous setting in which forecasts ar