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Time-analysis of COVID-19 dispersion among health care workers and the general population
Leme PAF +11 more
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An empirical evaluation of fuzzy bidirectional long short-term memory with soft computing based decision-making model for predicting volatility of cryptocurrencies. [PDF]
Ragab M.
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A new automatic forecasting method based on explainable deep dendritic artificial neural network. [PDF]
Bas E, Egrioglu E.
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Hybrid signal decomposition and deep learning framework for vehicle-vehicle crash forecasting. [PDF]
Zhou J +5 more
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Forecasting infection fatality rate of COVID-19, Measuring the effciency of several hybrid models.
SEBA D.
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Infant mortality rates in Ghana: progress toward sustainable development goal 3. [PDF]
Opoku S, Adama ZK, Abuga S.
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Consistent order selection for ARFIMA processes
The Annals of Statistics, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Huang, Hsueh-Han +3 more
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Bayesian Inference for ARFIMA Models
Journal of Time Series Analysis, 2019This article develops practical methods for Bayesian inference in the autoregressive fractionally integrated moving average (ARFIMA) model using the exact likelihood function, any proper prior distribution, and time series that may have thousands of observations.
Durham, Garland +3 more
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