PP: A multi-horizon quantile recurrent forecaster
2017 NIPS, time series workshop
traditional methods: ARIMA.
Seq2Seq
quantile forecast;
RELATED WORK
DeepAR, probabilistic forecasting with encoder-decoder models. A seq2seq architecture with an identical encoder and decoder.
METHOD
为什么要用encoder-decoder 模型,是因为这个模型可以对分布进行拟合,是quantile regression model 的重要条件。
Loss: quantile loss
structure: encoder, lstm; decoder lstm.
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