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Interpreting and predicting the economy flows: A time-varying parameter global vector autoregressive integrated the machine learning model
The paper proposes a time-varying parameter global vector autoregressive (TVP-GVAR) framework for predicting and analysing developed region economic variables.
The impact of spatio-temporal travel distance on epidemics using an interpretable attention-based sequence-to-sequence model
We unveil the geographical variations in the influence of population movement at different travel distances on the dynamics of epidemic spread.
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