| |
Original Artikel |
Datum |
Titel |
Autoren Alle Autoren |
| 1 |
[GO] |
2024―Mai―25 |
Dynamic time series modelling and forecasting of COVID-19 in Norway |
Gunnar Bårdsen, Ragnar Nymoen |
| 2 |
[GO] |
2023―Dez―15 |
Investigating laypeople’s short- and long-term forecasts of COVID-19 infection cycles |
Moon Su Koo, Yun Shin Lee, Matthias Seifert |
| 3 |
[GO] |
2022―Nov―04 |
Testing big data in a big crisis: Nowcasting under COVID-19 |
Luca Barbaglia, Lorenzo Frattarolo, Luca Onorante, Filippo Maria Pericoli, Marco Ratto, Luca Tiozzo Pezzoli |
| 4 |
[GO] |
2022―Jul―01 |
Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States |
Evan L. Ray, Logan C. Brooks, Jacob Bien, Matthew Biggerstaff, Nikos I. Bosse, Johannes Bracher, et al. (+9) Estee Y. Cramer, Sebastian Funk, Aaron Gerding, Michael A. Johansson, Aaron Rumack, Yijin Wang, Martha Zorn, Ryan J. Tibshirani, Nicholas G. Reich |
| 5 |
[GO] |
2022―Jan―31 |
Testing the predictive accuracy of COVID-19 forecasts |
Laura Coroneo, Fabrizio Iacone, Alessia Paccagnini, Paulo Santos Monteiro |
| 6 |
[GO] |
2022―Jan―22 |
Editorial: Epidemics and forecasting with a focus on COVID-19 |
Pierre Pinson |
| 7 |
[GO] |
2022―Jan―17 |
The COVID-19 shock and challenges for inflation modelling |
Elena Bobeica, Benny Hartwig |
| 8 |
[GO] |
2021―Dez―29 |
A flexible framework for intervention analysis applied to credit-card usage during the coronavirus pandemic |
Anson T.Y. Ho, Lealand Morin, Harry J. Paarsch, Kim P. Huynh |
| 9 |
[GO] |
2021―Dez―22 |
Economic forecasting in times of COVID-19 |
Laurent Ferrara, Xuguang Simon Sheng |
| 10 |
[GO] |
2021―Okt―29 |
Boosting tax revenues with mixed-frequency data in the aftermath of COVID-19: The case of New York |
Kajal Lahiri, Cheng Yang |
| 11 |
[GO] |
2021―Okt―14 |
Short-term Covid-19 forecast for latecomers |
Marcelo C. Medeiros, Alexandre Street, Davi Valladão, Gabriel Vasconcelos, Eduardo Zilberman |
| 12 |
[GO] |
2021―Jul―13 |
Hawkes process modeling of COVID-19 with mobility leading indicators and spatial covariates |
Wen-Hao Chiang, Xueying Liu, George Mohler |
| 13 |
[GO] |
2021―Mrz―05 |
The impact of the COVID-19 pandemic on business expectations |
Brent H. Meyer, Brian Prescott, Xuguang Simon Sheng |
| 14 |
[GO] |
2021―Jan―13 |
Nowcasting unemployment insurance claims in the time of COVID-19 |
William D. Larson, Tara M. Sinclair |
| 15 |
[GO] |
2020―Dez―26 |
Forecasting the Covid-19 recession and recovery: Lessons from the financial crisis |
Claudia Foroni, Massimiliano Marcellino, Dalibor Stevanovic |
| 16 |
[GO] |
2020―Dez―04 |
COVID-19: Forecasting confirmed cases and deaths with a simple time-series model |
Fotios Petropoulos, Spyros Makridakis, Neophytos Stylianou |
| 17 |
[GO] |
2020―Okt―09 |
Comparing the accuracy of several network-based COVID-19 prediction algorithms |
Massimo A. Achterberg, Bastian Prasse, Long Ma, Stojan Trajanovski, Maksim Kitsak, Piet Van Mieghem |
| 18 |
[GO] |
2020―Sep―12 |
Short-term forecasting of the coronavirus pandemic |
Jurgen A. Doornik, Jennifer L. Castle, David F. Hendry |
| 19 |
[GO] |
2020―Sep―12 |
Pandemics and forecasting: The way forward through the Taleb-Ioannidis debate |
Pierre Pinson, Spyros Makridakis |
| 20 |
[GO] |
2020―Aug―25 |
Forecasting for COVID-19 has failed |
John P.A. Ioannidis, Sally Cripps, Martin A. Tanner |
