Flow field forecasting for univariate time series

DOI10.1002/sam.11191zbMath1281.62213OpenAlexW1750809704MaRDI QIDQ2870759

Micheal R. Frey, Kyle A. Caudle

Publication date: 21 January 2014

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/sam.11191

zbMATH Keywords

prediction errorupdatingGaussian process regressionpenalized spline regressionnonuniformly spaced data

Mathematics Subject Classification ID

Related Items (1)

Flow field forecasting for univariate time series

Uses Software

• forecast
• SemiPar
• Forecast
• ElemStatLearn

Cites Work

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• Computing the update of the repeated median regression line in linear time
• Forecasting non-stationary time series by wavelet process modelling
• Flow field forecasting for univariate time series
• Semiparametric Regression
• Miscellanea. On the optimal amount of smoothing in penalised spline regression
• Significant motifs in time series
• Highly robust variogram estimation
• Variogram fitting by generalized least squares using an explicit formula for the covariance structure

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