Deep learning models for inflation forecasting
Year of publication: |
[2022]
|
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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 | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Inflation | Lernprozess | Learning process | Lernen | Learning | Inflationserwartung | Inflation expectations |
Extent: | 1 Online-Ressource (circa 27 Seiten) Illustrationen |
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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 |
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