Deep learning models for inflation forecasting
Alexandre Fernandes Theoharidis and Diogo Abry Guillén and Hedibert Lopes
| Year of publication: |
[2022]
|
|---|---|
| Authors: | Theoharidis, Alexandre Fernandes ; Guillén, Diogo Abry ; Lopes, Hedibert Freitas |
| Publisher: |
[São Paulo/SP - Brasil] : [Insper] |
| Subject: | Deep Learning | Machine Learning | Inflation Forecasting | LSTM Networks | ConvolutionalNetworks | Autoencoders | Prognoseverfahren | Forecasting model | Inflation | Lernprozess | Learning process | Künstliche Intelligenz | Artificial intelligence | Lernen | Learning | Prognose | Forecast | Inflationserwartung | Inflation expectations |
| Extent: | 1 Online-Ressource (circa 27 Seiten) Illustrationen |
|---|---|
| Series: | |
| Type of publication: | Book / Working Paper |
| Type of publication (narrower categories): | Arbeitspapier ; Working Paper ; Graue Literatur ; Non-commercial literature |
| Language: | English |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013337509