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Probabilistic Event Prediction

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The Value of Probabilistic Prediction [PDF]

Atmospheric Science Letters, 2008
Abstract Probabilistic forecasts designed to estimate the probability density function of forecast states are potentially more valuable than single forecasts because (1) they can predict not only the most likely outcome but also the probability of occurrence of extreme and rare events and (2) probabilistic forecasts issued on ...
Roberto Buizza
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Validation of Probabilistic Predictions

Medical Decision Making, 1993
Current advances in high-speed computing and increased availability of statistical software have led to widespread use of statistical methods for the development of computerized protocols predictive of binary health outcomes. If these predictive algorithms are to be used in settings other than those for which they were developed, e.g., applied in a ...
M E, Miller, C D, Langefeld, W M, Tierney, S L, Hui, C J, McDonald   +4 more
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Probabilistic congestion prediction

Proceedings of the 2004 international symposium on Physical design, 2004
Congestion is a fundamental problem in VLSI design flows. Typically, it is handled by feeding back density information to the placers and routers. Fast and accurate congestion estimation is key in order to obtain a design flow with less iterations and higher predictability.Fast congestion prediction is based on an accurate approximation of the actual ...
Westra, H.J.L., Bartels, C.L.L., Groeneveld, P.R.   +2 more
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Information Aggregation in Probabilistic Prediction

IEEE Transactions on Systems, Man, and Cybernetics, 1973
Probabilistic prediction generally involves the consideration of information from many different sources, and this information must be aggregated to determine a single probability (or probability distribution). This paper is concerned with the aggregation process, and although some aspects of the paper are new, much of the paper is tutorial in nature ...
Robert L. Winkler, Allan H. Murphy
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