Time Analysis of an Emergent Infection Spread Among Healthcare Workers: Lessons Learned from Early Wave of SARS-CoV-2. [PDF]
Int J Gen Med, 2022 Leme PAF +8 more
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Predicción mediante modelos AFIRMA y FOU de energía afluente
Memoria Investigaciones en Ingeniería, 2017 En este trabajo se estudian predicciones a partir de modelos ARFIMA y FOU para la serie de datos semanales de energía afluente generada por las represas hidroeléctricas de Uruguay entre 1909 y 2012. Se describe la serie de datos, y mediante la estimación
Juan Kalemkerian
doaj
Model-based stationarity filtering of long-term memory data applied to resting-state blood-oxygen-level-dependent signal. [PDF]
PLoS One, 2022 Bansal IR +4 more
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Temporal Structure in Sensorimotor Variability: A Stable Trait, But What For? [PDF]
Comput Brain Behav, 2023 Perquin MN +3 more
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Pandemic episodes, CO2 emissions and global temperatures. [PDF]
Theor Appl Climatol, 2022 Monge M, Gil-Alana LA.
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Forecasting commodity prices: empirical evidence using deep learning tools. [PDF]
Ann Oper Res, 2023 Ben Ameur H +4 more
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On the relationship between Bitcoin and other assets during the outbreak of coronavirus: Evidence from fractional cointegration analysis. [PDF]
Resour Policy, 2022 Bejaoui A, Mgadmi N, Moussa W.
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Estimating Permutation Entropy Variability via Surrogate Time Series. [PDF]
Entropy (Basel), 2022 Ricci L, Perinelli A.
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Forecasting the Romanian Unemployment Rate in Time of Health Crisis-A Univariate vs. Multivariate Time Series Approach. [PDF]
Int J Environ Res Public Health, 2021 Davidescu AA, Apostu SA, Marin A.
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NEO: NEuro-Inspired Optimization-A Fractional Time Series Approach. [PDF]
Front Physiol, 2021 Chatterjee S, Das S, Pequito S.
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