Temporal Fusion Transformers for interpretable multi-horizon time series forecasting-Reference-Cited by-同舟云学术

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Temporal Fusion Transformers for interpretable multi-horizon time series forecasting

Published:2021-10 Issue:4 Volume:37 Page:1748-1764
ISSN:0169-2070
Container-title:International Journal of Forecasting
language:en
Short-container-title:International Journal of Forecasting

Author:

Lim Bryan^ORCID,Arık Sercan Ö.,Loeff Nicolas,Pfister Tomas

Funder

Google Inc

Publisher

Elsevier BV

Subject

Business and International Management

Reference43 articles.

1. Attentive state-space modeling of disease progression;Alaa,2019

2. Regime changes and financial markets;Ang;Annual Review of Financial Economics,2012

3. TabNet: Attentive interpretable tabular learning;Arik,2019

4. The unprecedented stock market impact of COVID-19;Baker,2020

5. Distributed lags and dynamic models;Baltagi,2008

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