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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Bibliographic Details
Published in:	Wiley interdisciplinary reviews. Computational statistics Vol. 12; no. 6; pp. e1494 - n/a
Main Authors:	Washington, Benjamin J., Seymour, Lynne
Format:	Journal Article
Language:	English
Published:	Hoboken, USA John Wiley & Sons, Inc 01.11.2020 Wiley Subscription Services, Inc
Subjects:	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
Online Access:	Get full text
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