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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 (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:
- 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, ZEW - Leibniz Centre for European Economic Research, number 17-053.
- 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, National Research University Higher School of Economics, number WP BRP 76/STI/2017.
- Rui Luo & Weinan Zhang & Xiaojun Xu & Jun Wang, 2017, "A Neural Stochastic Volatility Model," Papers, arXiv.org, number 1712.00504, Nov, revised Dec 2018.
- Dengler, Sebastian, 2017, "Economic essays on privacy, big data, and climate change," Other publications TiSEM, Tilburg University, School of Economics and Management, number 2e48fcbf-1584-416d-ae88-2.