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Retrospective evaluation of trained and untrained probabilistic ensemble forecasts for influenza hospital admissions - United States, 2022-2025. [PDF]

Infect Dis Model
Frutos AM, Hines A, Shandross L, Ray EL, Reich NG, Borchering RK, Biggerstaff M.   +6 more
europepmc   +1 more source

Bayesian neural network-based policy effect prediction for green transformation of power business environment. [PDF]

Sci Rep
Shen Y, Chen J, Wang W, Wu Q, Jiang D, Xia S.   +5 more
europepmc   +1 more source

Probabilistic Event Prediction

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Probabilistic structural durability prediction

AIAA Journal, 1998
Anefe cientreliability analysis method fordurability of structural components subjected to external and inertial loads with time-dependent variable amplitudes is presented. This method is able to support reliability analysis of crack-initiation and crack-propagation lives of practical applications, considering uncertainties such as material properties,
Xiaoming Yu, Kuang-Hua Chang, Kyung K. Choi   +2 more
openaire   +1 more source

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 ...
Winkler, Robert L., Murphy, Allan H.
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Probabilistic structural stability prediction

6th Symposium on Multidisciplinary Analysis and Optimization, 1996
In this paper, an efficient reliability analysis method for durability of structural components subjected to external and inertia loads with time-dependent variable amplitudes is presented. This proposed method is able to support reliability analysis of crack initiation and crack propagation lives of practical applications, considering uncertainties ...
Kuang-Hua Chang, Xiaoming Yu, Kyung Choi
openaire   +1 more source