Report NEP-FOR-2017-10-22

This is the archive for NEP-FOR, a report on new working papers in the area of Forecasting. Rob J Hyndman issued this report. It is usually issued weekly.

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Other reports in NEP-FOR

The following items were announced in this report:

• Kasun Bandara & Christoph Bergmeir & Slawek Smyl, 2017. "Forecasting Across Time Series Databases using Recurrent Neural Networks on Groups of Similar Series: A Clustering Approach," Papers 1710.03222, arXiv.org, revised Sep 2018.
• Itai Areili & Yakov Babichenko & Rann Smorodinsky, 2017. "Robust Forecast Aggregation," Papers 1710.02838, arXiv.org, revised Feb 2018.
• Chris McDonald, 2017. "Does past inflation predict the future?," Reserve Bank of New Zealand Analytical Notes series AN2017/04, Reserve Bank of New Zealand.
• Daniel Kosiorowski & Dominik Mielczarek & Jerzy P. Rydlewski, 2017. "Aggregated moving functional median in robust prediction of hierarchical functional time series - an application to forecasting web portal users behaviors," Papers 1710.02669, arXiv.org, revised Jul 2018.