Results 61 to 70 of about 596,691 (192)
The role of the information set for forecasting - with applications to risk management [PDF]
Predictions are issued on the basis of certain information. If the forecasting mechanisms are correctly specified, a larger amount of available information should lead to better forecasts.
Eulert, Matthias, Holzmann, Hajo
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How CBO Forecasts Income [PDF]
[Excerpt] Because federal receipts are determined to a great extent by taxes collected on individual and business income, this background paper focuses on how CBO projects income earned by individuals and businesses. It concentrates primarily on CBO\u27s
U.S. Congressional Budget Office
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There has been a great deal of speculation in the media about whether or not there are genuine signs of economic recovery in the UK--the now infamous 'Green Shoots'. Although economic growth is picking up, the rate of acceleration is still very weak. Despite this, many commentators are forecasting that the rate of economic growth will steadily increase
openaire +2 more sources
The ever-increasing capacity of numerical weather prediction (NWP) models requires accurate flow information at higher spatial and temporal resolutions.
Yanhui Xie +6 more
doaj +1 more source
We consider combinations of subjective survey forecasts and model-based forecasts from linear and non-linear univariate specifications as well as multivariate factor-augmented models.
Allan Timmermann +2 more
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Improving rainfall nowcasting and urban runoff forecasting through dynamic radar-raingauge rainfall adjustment [PDF]
The insufficient accuracy of radar rainfall estimates is a major source of uncertainty in short-term quantitative precipitation forecasts (QPFs) and associated urban flood forecasts.
Jewell, SA +6 more
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Evaluating FOMC forecasts [PDF]
Federal Reserve policymakers began reporting their economic forecasts to Congress in 1979. These forecasts are important because they indicate what the Federal Open Market Committee (FOMC) members think will be the likely consequence of their policies ...
Rachel J. Mandal, William T. Gavin
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An Unsupervised Deep Learning Approach for Scenario Forecasts
In this paper, we propose a novel scenario forecasts approach which can be applied to a broad range of power system operations (e.g., wind, solar, load) over various forecasts horizons and prediction intervals. This approach is model-free and data-driven,
Chen, Yize, Wang, Xiyu, Zhang, Baosen
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The paper discusses connections between zonal boundaries of vegetation and productivity of forest stands and some climatic parameters. It also suggests mathematical-cartographic models of these connections.
Vadim Rumyantsev +4 more
doaj +1 more source
The Combined Forecasts Using the Akaike Weights [PDF]
The focus in the paper is on the information criteria approach and especially the Akaike information criterion which is used to obtain the Akaike weights.
Mariola Pilatowska
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