Comparison of ARIMA, ETS, NNAR, TBATS and hybrid models to forecast the second wave of COVID-19 hospitalizations in Italy
G Perone - The European Journal of Health Economics, 2021 - Springer
Abstract The coronavirus disease (COVID-19) is a severe, ongoing, novel pandemic that
emerged in Wuhan, China, in December 2019. As of January 21, 2021, the virus had …
emerged in Wuhan, China, in December 2019. As of January 21, 2021, the virus had …
Forecasting pine sawtimber stumpage prices: A comparison between a time series hybrid model and an artificial neural network
We conducted a comparative analysis of the predictive ability of classical econometric
models and artificial neural networks (ANNs) for pine sawtimber stumpage prices across 22 …
models and artificial neural networks (ANNs) for pine sawtimber stumpage prices across 22 …
Forecasting ward-level bed requirements to aid pandemic resource planning: Lessons learned and future directions
During the COVID-19 pandemic, there has been considerable research on how regional
and country-level forecasting can be used to anticipate required hospital resources. We add …
and country-level forecasting can be used to anticipate required hospital resources. We add …
Comparison of ARIMA, ETS, NNAR and hybrid models to forecast the second wave of COVID-19 hospitalizations in Italy
G Perone - arxiv preprint arxiv:2010.11617, 2020 - arxiv.org
Coronavirus disease (COVID-19) is a severe ongoing novel pandemic that has emerged in
Wuhan, China, in December 2019. As of October 13, the outbreak has spread rapidly across …
Wuhan, China, in December 2019. As of October 13, the outbreak has spread rapidly across …
[PDF][PDF] New Model for the COVID-19 Reported Cases and Deaths of Ghana in Accelerated Spread and Prediction of the Delayed Phase
There is an ongoing investigation on the transmission characteristics of COVID-19 with
respect to country-based inflection points, nature of distribution and prediction of future …
respect to country-based inflection points, nature of distribution and prediction of future …