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Time series analysis and seasonality trends of SARS-CoV-2 in Ecuador (2020-2024): a four-year study. [PDF]
Espinosa P +3 more
europepmc +1 more source
Sustainable development goal 3: is Ghana on track with neonatal mortality? [PDF]
Adama ZK, Abuga S, Opoku S, Welbeck J.
europepmc +1 more source
A forecasting tool of hospital demand during heat periods: a case study in Bern, Switzerland
Di Domenico L +4 more
europepmc +1 more source
Forecasting Equicorrelations [PDF]
We study the out-of-sample forecasting performance of several time-series models of equicorrelation, which is the average pairwise correlation between a number of assets. Building on the existing Dynamic Conditional Correlation and Linear Dynamic Equicorrelation models, we propose a model that uses proxies for equicorrelation based on high-frequency ...
Adam E Clements +2 more
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This paper develops a set of time series models to provide short-term forecasts (6 to 18 months ahead) of international trade both at the global level and for selected regions. Our results compare favourably to other forecasts, notably by the International Monetary Fund, as measured by standard evaluation measures, such as the root mean square forecast
Keck, Alexander, Raubold, Alexander
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Macroeconomic forecasts and microeconomic forecasters [PDF]
In the presence of principal-agent problems, published macroeconomic forecasts by professional economists may not measure expectations. Forecasters may use their forecasts in order to manipulate beliefs about their ability. I test a cross-sectional implication of models of reputation and information-revelation.
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Monthly Weather Review, 1987
It is shown that it is possible to predict the skill of numerical weather forecasts - a quantity which is variable from day to day and region to region. This has been accomplished using as predictor the dispersion (measured by the average correlation) between members of an ensemble of forecasts started from five different analyses.
Eugenia Kalnay, Amnon Dalcher
openaire +1 more source
It is shown that it is possible to predict the skill of numerical weather forecasts - a quantity which is variable from day to day and region to region. This has been accomplished using as predictor the dispersion (measured by the average correlation) between members of an ensemble of forecasts started from five different analyses.
Eugenia Kalnay, Amnon Dalcher
openaire +1 more source

