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Report NEP-BIG-2017-12-11
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.
Other reports in NEP-BIG
The following items were announced in this report:
- Niebel, Thomas & Rasel, Fabienne & Viete, Steffen, 2017. "BIG data - BIG gains? Empirical evidence on the link between big data analytics and innovation," ZEW Discussion Papers 17-053, ZEW - Leibniz Centre for European Economic Research.
- Leonid Gokhberg & Ilya Kuzminov & Pavel Bakhtin & Elena Tochilina & Alexander Chulok & Anton Timofeev & Alina Lavrinenko, 2017. "Big-Data-Augmented Approach to Emerging Technologies Identification: Case of Agriculture and Food Sector," HSE Working papers WP BRP 76/STI/2017, National Research University Higher School of Economics.
- Rui Luo & Weinan Zhang & Xiaojun Xu & Jun Wang, 2017. "A Neural Stochastic Volatility Model," Papers 1712.00504, arXiv.org, revised Dec 2018.
- Dengler, Sebastian, 2017. "Economic essays on privacy, big data, and climate change," Other publications TiSEM 2e48fcbf-1584-416d-ae88-2, Tilburg University, School of Economics and Management.