Results 261 to 270 of about 537,336 (309)

Semiparametric distribution forecasting

Journal of Statistical Planning and Inference, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kedem, Benjamin, Gagnon, Richard E.
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Ensemble forecasting of species distributions

Trends in Ecology & Evolution, 2007
Concern over implications of climate change for biodiversity has led to the use of bioclimatic models to forecast the range shifts of species under future climate-change scenarios. Recent studies have demonstrated that projections by alternative models can be so variable as to compromise their usefulness for guiding policy decisions.
Miguel B, Araújo, Mark, New
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Forecasting negative yield‐curve distributions

Journal of Forecasting, 2017
AbstractNegative interest rates have been present in various marketplaces since mid‐2014, following the negative interest rate policy (NIRP) adopted by the European Central Bank to raise economic growth. The well‐known historical approach (HA) appears to be a good resource.
Jae-Yun Jun, Victor Lebreton, Yves Rakotondratsimba   +2 more
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Forecasting intraday volume distributions

2015 Systems and Information Engineering Design Symposium, 2015
Over the past twenty years, trading in financial markets has evolved from a human-oriented process to one that is highly automated. One of the most influential and revolutionary processes in financial markets is algorithmic trading. The focus of this work is to increase trading efficiency by improving the accuracy of intraday volume forecasts, which ...
James Nettles, Nicholas Brayer, Charles Jenner, Alexander Ngo, Charlie Putnam, Trevor Shank, Andrew Todd, Peter Beling   +7 more
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Forecasting with Distributional Scaling

SSRN Electronic Journal, 2009
Option pricing and allocation tools in portfolio construction should be prospective - based on assumptions about how prices will change in the future. Most capital market assumptions used in portfolio construction are based on retrospective analysis, boiling down to simple calculations of historical correlations. A better method is to take advantage of
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State forecasting in distribution networks

2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 2019
The subject addressed in this paper is the state forecast functionality as a part of the advanced distribution network voltage-control algorithm. The algorithm itself consists of different parts, namely the state estimation, state forecast and voltage control.
Mitja Antončič, Marjan Ilkovski, Boštjan Blažič   +2 more
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Forecasting Fundamental Stock Price Distributions

SSRN Electronic Journal, 2000
This paper develops a procedure for forecasting the distribution from which future stock prices/returns will be drawn fundamentally. Our methodology therefore provides a means for forecasting future stock prices and return volatilities and thus for fundamentally valuing assets such as stocks and stock options.
R. Glen Donaldson, Mark J. Kamstra
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Spatial electric distribution load forecasting

1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation, 2002
Electric distribution systems planning needs know the magnitude of the power that must be delivered, in order to plan the investment expansion and the efficient operation of its equipment. However, beyond these estimates, knowing the spatial distribution of the electric load increases is fundamental.
H.G. Arango, G. Lambert-Torres, A.P. Alves da Silva   +2 more
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Implications of Ensemble Quantitative Precipitation Forecast Errors on Distributed Streamflow Forecasting

Journal of Hydrometeorology, 2010
Abstract Evaluating the propagation of errors associated with ensemble quantitative precipitation forecasts (QPFs) into the ensemble streamflow response is important to reduce uncertainty in operational flow forecasting. In this paper, a multifractal rainfall downscaling model is coupled with a fully distributed hydrological model to ...
MASCARO, GIUSEPPE, Vivoni ER, DEIDDA, ROBERTO   +2 more
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