Results 231 to 240 of about 146,575 (268)
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SSRN Electronic Journal, 2010
AbstractThis article studies two issues in forecast combination, first considering ways to combine forecasts from surveys and time series models. Second, it considers the possibility, advanced by Hendry and Clements (2004), that model instability can help explain the gains in forecasting performance resulting from combination.
Marco Aiolfi +2 more
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AbstractThis article studies two issues in forecast combination, first considering ways to combine forecasts from surveys and time series models. Second, it considers the possibility, advanced by Hendry and Clements (2004), that model instability can help explain the gains in forecasting performance resulting from combination.
Marco Aiolfi +2 more
openaire +2 more sources
Macroeconomic forecasting and macroeconomic forecasts
Voprosy EkonomikiThe specificity of macroeconomic forecasts is determined not so much by the list of predicted indicators or by mathematical tools used, but by the unavoidable human factor, which often generates great difference between forecasts made by various professionals.
S. V. Smirnov +2 more
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Microfounded Forecasting [PDF]
In this paper, we propose a microfounded framework to investigate a panel of forecasts (e.g. model-driven or survey-based) and the possibility to improve their out-of-sample forecast performance by employing a bias-correction device. Following Patton and Timmermann (2007), we theoretically justify the modeling of forecasts as function of the ...
Gaglianone, Wagner Piazza +1 more
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Climacteric, 2015
Recent epidemiological studies from various countries point at the mounting incidence of cancer. This continuous increase in the number of cancer cases will keep its pace in the future. The lifetime risk of cancer for people born since 1960 is forecast to be more than 50%.
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Recent epidemiological studies from various countries point at the mounting incidence of cancer. This continuous increase in the number of cancer cases will keep its pace in the future. The lifetime risk of cancer for people born since 1960 is forecast to be more than 50%.
openaire +2 more sources
pure and applied geophysics, 1980
Recent advances in the use of dynamical and statistical models to forecast the weather are described. High resolution physical—mathematical models can now predict the development of synoptic weather systems in great detail for a few days ahead, while large-scale phenomena like blocking can be predicted for about a week or more.
openaire +2 more sources
Recent advances in the use of dynamical and statistical models to forecast the weather are described. High resolution physical—mathematical models can now predict the development of synoptic weather systems in great detail for a few days ahead, while large-scale phenomena like blocking can be predicted for about a week or more.
openaire +2 more sources
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
ACM Computing Surveys, 2023Konstantinos Benidis +2 more
exaly
Impact Forecasting to Support Emergency Management of Natural Hazards
Reviews of Geophysics, 2020Bruno Merz +2 more
exaly
Graph neural network for traffic forecasting: A survey
Expert Systems With Applications, 2022Weiwei Jiang
exaly

