Short-term forecasting of the coronavirus pandemic

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of forecasting
1. Verfasser: Doornik, Jurgen A. (VerfasserIn)
Weitere Verfasser: Castle, Jennifer (VerfasserIn), Hendry, David F. (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2022
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Forecast combinations : an over 50-year review 2024 Wang, Xiaoqian
Cross-temporal forecast reconciliation : optimal combination method and heuristic alternatives 2023 Di Fonzo, Tommaso
Technical analysis, spread trading, and data snooping control 2023 Psaradellis, Ioannis
Towards a real-time prediction of waiting times in emergency departments : a comparative analysis of machine learning techniques 2023 Benevento, Elisabetta
FRED-SD : a real-time database for state-level data with forecasting applications 2023 Bokun, Kathryn O.
Nowcasting German GDP : foreign factors, financial markets, and model averaging 2023 Andreini, Paolo
Differing behaviours of forecasters of UK GDP growth 2023 Meade, Nigel
The power of text-based indicators in forecasting Italian economic activity 2023 Aprigliano, Valentina
A copula-based time series model for global horizontal irradiation 2023 Müller, Alfred
Neural basis expansion analysis with exogenous variables : forecasting electricity prices with NBEATSx 2023 Olivares, Kin G.
Aggregating qualitative district-level campaign assessments to forecast election results : evidence from Japan 2023 Umeda, Michio
Deep learning models for visibility forecasting using climatological data 2023 Ortega, Luz C.
False dichotomy alert : improving subjective-probability estimates vs. raising awareness of systemic risk 2023 Tetlock, Philip E.
The Lee-Carter method and probabilistic population forecasts 2023 Raftery, Adrian E.
Forecasting short-term defaults of firms in a commercial network via Bayesian spatial and spatio-temporal methods 2023 Berloco, Claudia
Mixed-frequency machine learning : nowcasting and backcasting weekly initial claims with daily internet search volume data 2023 Borup, Daniel
Penalized estimation of panel vector autoregressive models : a panel LASSO approach 2023 Camehl, Annika
Factor models for large and incomplete data sets with unknown group structure 2023 Camacho, Maximo
Improving variance forecasts : the role of Realized Variance features 2023 Papantonis, Ioannis
fETSmcs : feature-based ETS model component selection 2023 Qi, Lingzhi
Alle Artikel auflisten