An adapted vector autoregressive expectation maximization imputation algorithm for climate data networks

Missingness in historical climate data networks is a pervasive phenomenon due to the conditions under which these measurements are made. Accurate estimation of these data is a critical issue as projections of future climate depend on a reliable historical climate record. After all, how can the impac...

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Vydané v:	Wiley interdisciplinary reviews. Computational statistics Ročník 12; číslo 6; s. e1494 - n/a
Hlavní autori:	Washington, Benjamin J., Seymour, Lynne
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hoboken, USA John Wiley & Sons, Inc 01.11.2020 Wiley Subscription Services, Inc
Predmet:	Algorithms Climate change climate data Climatic data Computer applications Environmental impact expectation–maximization Iterative methods Missing data Multivariate analysis multivariate infilling Networks Numerical weather forecasting Root-mean-square errors Stations Statistical methods Stochastic processes Temperature data vector autoregression Weather forecasting
ISSN:	1939-5108, 1939-0068
On-line prístup:	Získať plný text
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