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Download Deepar: Probabilistic Forecasting With Autoregressive Recurrent Networks by ['ghrab Med'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Deepar: Probabilistic Forecasting With Autoregressive Recurrent Networks
DeepAR is a methodology for producing accurate probabilistic forecasts based on training an autoregressive recurrent network model on a large number of related time series. It addresses challenges in forecasting thousands or millions of related time series, such as differing magnitudes across time series and skewed distributions. DeepAR incorporates a negative binomial likelihood for count data and special treatment for varying time series magnitudes. It demonstrates improved forecast accuracy over 15% on real-world data compared to state-of-the-art methods through extensive empirical evaluation.
Detailed Information
| Author: | ['ghrab Med'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 12 |
| Language: | English |
| Format: | |
| Price: | FREE |
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