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Report NEP-BIG-2019-02-04
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:
- Artem Kochnev, 2019, "Dying Light: War and Trade of the Separatist-Controlled Areas of Ukraine," wiiw Working Papers, The Vienna Institute for International Economic Studies, wiiw, number 161, Jan.
- Hollenbeck, Brett, 2018, "Online Reputation Mechanisms and the Decreasing Value of Chain Affliation," MPRA Paper, University Library of Munich, Germany, number 91573, Oct.
- Kinne, Jan & Lenz, David, 2019, "Predicting innovative firms using web mining and deep learning," ZEW Discussion Papers, ZEW - Leibniz Centre for European Economic Research, number 19-001.
- Blanka Horvath & Aitor Muguruza & Mehdi Tomas, 2019, "Deep Learning Volatility," Papers, arXiv.org, number 1901.09647, Jan, revised Aug 2019.
- Dylan J. Foster & Vasilis Syrgkanis, 2019, "Orthogonal Statistical Learning," Papers, arXiv.org, number 1901.09036, Jan, revised Jun 2023.
- Nikolaos Passalis & Anastasios Tefas & Juho Kanniainen & Moncef Gabbouj & Alexandros Iosifidis, 2019, "Temporal Logistic Neural Bag-of-Features for Financial Time series Forecasting leveraging Limit Order Book Data," Papers, arXiv.org, number 1901.08280, Jan.
- Achim Ahrens & Christian B. Hansen & Mark E. Schaffer, 2019, "lassopack: Model selection and prediction with regularized regression in Stata," Papers, arXiv.org, number 1901.05397, Jan.
- Lechner, Michael, 2018, "Modified Causal Forests for Estimating Heterogeneous Causal Effects," IZA Discussion Papers, IZA Network @ LISER, number 12040, Dec.