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 (Tom Coupe) 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, IZA Network @ LISER, number 11036, Sep.
- Fiona Burlig & Christopher Knittel & David Rapson & Mar Reguant & Catherine Wolfram, 2017, "Machine Learning from Schools about Energy Efficiency," NBER Working Papers, National Bureau of Economic Research, Inc, number 23908, Oct.
- Anthony Yezer, 2017, "Personal Privacy of HMDA in a World of Big Data," Working Papers, The George Washington University, Institute for International Economic Policy, number 2017-21.
- 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, arXiv.org, number 1710.03222, Oct, revised Sep 2018.
- Masaaki Fujii & Akihiko Takahashi & Masayuki Takahashi, 2017, "Asymptotic Expansion as Prior Knowledge in Deep Learning Method for high dimensional BSDEs," Papers, arXiv.org, number 1710.07030, Oct, revised Mar 2019.
- Alrik Brüning & Peter Gluchowski & Andre Kaiser, 2017, "Data Governance – Einordnung, Konzepte und aktuelle Herausforderungen," Chemnitz Economic Papers, Department of Economics, Chemnitz University of Technology, number 015, Oct.
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