author_facet Laio, Francesco
Ridolfi, Luca
Tamea, Stefania
Laio, Francesco
Ridolfi, Luca
Tamea, Stefania
author Laio, Francesco
Ridolfi, Luca
Tamea, Stefania
spellingShingle Laio, Francesco
Ridolfi, Luca
Tamea, Stefania
Geophysical Research Letters
Probabilistic prediction of real‐world time series: A local regression approach
General Earth and Planetary Sciences
Geophysics
author_sort laio, francesco
spelling Laio, Francesco Ridolfi, Luca Tamea, Stefania 0094-8276 1944-8007 American Geophysical Union (AGU) General Earth and Planetary Sciences Geophysics http://dx.doi.org/10.1029/2006gl028776 <jats:p>We propose a probabilistic prediction method, based on local polynomial regressions, which complements the point forecasts with robust estimates of the corresponding forecast uncertainty. The reliability, practicability and generality of the method is demonstrated by applying it to astronomical, physiological, economic, and geophysical time series.</jats:p> Probabilistic prediction of real‐world time series: A local regression approach Geophysical Research Letters
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title Probabilistic prediction of real‐world time series: A local regression approach
title_unstemmed Probabilistic prediction of real‐world time series: A local regression approach
title_full Probabilistic prediction of real‐world time series: A local regression approach
title_fullStr Probabilistic prediction of real‐world time series: A local regression approach
title_full_unstemmed Probabilistic prediction of real‐world time series: A local regression approach
title_short Probabilistic prediction of real‐world time series: A local regression approach
title_sort probabilistic prediction of real‐world time series: a local regression approach
topic General Earth and Planetary Sciences
Geophysics
url http://dx.doi.org/10.1029/2006gl028776
publishDate 2007
physical
description <jats:p>We propose a probabilistic prediction method, based on local polynomial regressions, which complements the point forecasts with robust estimates of the corresponding forecast uncertainty. The reliability, practicability and generality of the method is demonstrated by applying it to astronomical, physiological, economic, and geophysical time series.</jats:p>
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author Laio, Francesco, Ridolfi, Luca, Tamea, Stefania
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description <jats:p>We propose a probabilistic prediction method, based on local polynomial regressions, which complements the point forecasts with robust estimates of the corresponding forecast uncertainty. The reliability, practicability and generality of the method is demonstrated by applying it to astronomical, physiological, economic, and geophysical time series.</jats:p>
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spelling Laio, Francesco Ridolfi, Luca Tamea, Stefania 0094-8276 1944-8007 American Geophysical Union (AGU) General Earth and Planetary Sciences Geophysics http://dx.doi.org/10.1029/2006gl028776 <jats:p>We propose a probabilistic prediction method, based on local polynomial regressions, which complements the point forecasts with robust estimates of the corresponding forecast uncertainty. The reliability, practicability and generality of the method is demonstrated by applying it to astronomical, physiological, economic, and geophysical time series.</jats:p> Probabilistic prediction of real‐world time series: A local regression approach Geophysical Research Letters
spellingShingle Laio, Francesco, Ridolfi, Luca, Tamea, Stefania, Geophysical Research Letters, Probabilistic prediction of real‐world time series: A local regression approach, General Earth and Planetary Sciences, Geophysics
title Probabilistic prediction of real‐world time series: A local regression approach
title_full Probabilistic prediction of real‐world time series: A local regression approach
title_fullStr Probabilistic prediction of real‐world time series: A local regression approach
title_full_unstemmed Probabilistic prediction of real‐world time series: A local regression approach
title_short Probabilistic prediction of real‐world time series: A local regression approach
title_sort probabilistic prediction of real‐world time series: a local regression approach
title_unstemmed Probabilistic prediction of real‐world time series: A local regression approach
topic General Earth and Planetary Sciences, Geophysics
url http://dx.doi.org/10.1029/2006gl028776