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Assessing ocean-model sensitivity to wind forcing uncertainties
International audience -
Bayesian methods for electricity load forecasting
In this manuscript, we develop Bayesian statistics tools to forecast the French electricity load. We first prove the asymptotic normality of the posterior distribution... -
Mathematical Model for Forecasting and Estimating of Market Demand
Some of the statistics concepts presented in this paper were applied by the 4th author in algorithmic contests in which he participated (see the attached archive for some... -
Multifractal Volatility: Theory, Forecasting and Pricing
Calvet and Fisher present a powerful, new technique for volatility forecasting that draws on insights from the use of multifractals in the natural sciences and... -
Efficient Estimation of Learning Models
Mimeo, 2010 -
Three essays on banking excess liquidity in Economic Community of Central Afr...
This thesis is based on three essays focused on analysis of the excess liquidity in the CEMAC countries. The first one identifies the determinants of excess liquidity... -
Space-time cascades and the scaling of ECMWF reanalyses: Fluxes and fields
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Towards Improved Wind Power Forecasting Technology with Focus on Extremes. Th...
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Multistep Forecasting Non-Stationary Time Series using Wavelets and Kernel Sm...
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Conditional Autoregressive Hilbertian processes
When considering the problem of forecasting a continuous-time stochastic process over an entire time-interval in terms of its recent past, the notion of Autoregressive... -
Is Hosting the Games Enough to Win? A predictive economic model of medal wins...
An econometric model which has first been estimated on medal wins at Summer Olympics and has predicted 88% of medal distribution at Beijing Games 2008, is revisited... -
Gas hydrates of methane, ethane, propane, and carbon dioxide in the presence ...
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A local energy management system for solar integration and improved security ...
International audience -
Algorithms and Measures in Sequence Data Mining
The increasing amount of information makes sequential data mining an important domain of research. A vast number of data mining models and approaches have been... -
Now casting Anthropogenic Ocean Noise in High Pressure Areas
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Skill forecasting from ensemble predictions of wind power
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ViLab: A virtual laboratory for collaborative research on wind power forecasting
International audience -
Application of Wada's group contribution method to the prediction of the spee...
International audience
