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Report NEP-BIG-2018-03-26
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:
- Tierney, Heather L.R. & Kim, Jiyoon (June) & Nazarov, Zafar, 2018, "The Effects of Temporal Aggregation on Search Engine Data," MPRA Paper, University Library of Munich, Germany, number 84474, Jan.
- Item repec:hig:wpaper:59/ps/2018 is not listed on IDEAS anymore
- Daniel Kinn, 2018, "Synthetic Control Methods and Big Data," Papers, arXiv.org, number 1803.00096, Feb.
- Vikas Ramachandra, 2018, "Deep Learning for Causal Inference," Papers, arXiv.org, number 1803.00149, Feb.
- Victor Chernozhukov & Whitney Newey & Rahul Singh, 2018, "De-Biased Machine Learning of Global and Local Parameters Using Regularized Riesz Representers," Papers, arXiv.org, number 1802.08667, Feb, revised Oct 2022.
- Lionel Roger, 2018, "Blinded by the light? Heterogeneity in the luminosity-growth nexus and the African growth miracle," Discussion Papers, University of Nottingham, CREDIT, number 2018-04.
- Ilya Kuzminov & Pavel Bakhtin & Elena Khabirova & Maxim Kotsemir & Alina Lavrynenko, 2018, "Mapping the Radical Innovations in Food Industry: A Text Mining Study," HSE Working papers, National Research University Higher School of Economics, number WP BRP 80/STI/2018.
- Stephan Eckstein & Michael Kupper, 2018, "Computation of optimal transport and related hedging problems via penalization and neural networks," Papers, arXiv.org, number 1802.08539, Feb, revised Jan 2019.