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Report NEP-BIG-2017-10-22
This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-BIG
The following items were announced in this report:
- Michaels, Guy & Nigmatulina, Dzhamilya & Rauch, Ferdinand & Regan, Tanner & Baruah, Neeraj & Dahlstrand, Amanda, 2017. "Planning Ahead for Better Neighborhoods: Long Run Evidence from Tanzania," IZA Discussion Papers 11036, Institute of Labor Economics (IZA).
- Fiona Burlig & Christopher Knittel & David Rapson & Mar Reguant & Catherine Wolfram, 2017. "Machine Learning from Schools about Energy Efficiency," NBER Working Papers 23908, National Bureau of Economic Research, Inc.
- Anthony Yezer, 2017. "Personal Privacy of HMDA in a World of Big Data," Working Papers 2017-21, The George Washington University, Institute for International Economic Policy.
- 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.
- Masaaki Fujii & Akihiko Takahashi & Masayuki Takahashi, 2017. "Asymptotic Expansion as Prior Knowledge in Deep Learning Method for high dimensional BSDEs," Papers 1710.07030, arXiv.org, revised Mar 2019.
- Alrik Brüning & Peter Gluchowski & Andre Kaiser, 2017. "Data Governance – Einordnung, Konzepte und aktuelle Herausforderungen," Chemnitz Economic Papers 015, Department of Economics, Chemnitz University of Technology.