Space‐time modelling of trends in temperature series

DOI10.1111/j.1467-9892.2011.00733.xzbMath1294.62194OpenAlexW2128245617MaRDI QIDQ5495684

Peter F. Craigmile, Peter Guttorp

Publication date: 6 August 2014

Published in: Journal of Time Series Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9892.2011.00733.x

zbMATH Keywords

predictionseasonalitywavelet decompositionsBayesian hierarchical modelsDaubechies waveletslong memory dependence

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to environmental and related topics (62P12) Geostatistics (86A32)

Related Items

Stochastic modeling for velocity of climate change ⋮ Covariate‐based cepstral parameterizations for time‐varying spatial error covariances ⋮ Spectral‐based non‐central F mixed effect models, with application to otoacoustic emissions ⋮ Estimation of long-range dependence in gappy Gaussian time series ⋮ CAN A REGIONAL CLIMATE MODEL REPRODUCE OBSERVED EXTREME TEMPERATURES ⋮ A new method to mitigate data fluctuations for time series prediction ⋮ Spatial modeling of day-within-year temperature time series: an examination of daily maximum temperatures in Aragón, Spain

Uses Software

• R

Cites Work

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