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Report NEP-BIG-2017-07-23
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:
- Dominique Guegan & Bertrand Hassani, 2017, "Regulatory Learning: how to supervise machine learning models? An application to credit scoring," Documents de travail du Centre d'Economie de la Sorbonne, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, number 17034, Jul.
- Xiaojiao Yu, 2017, "Machine learning application in online lending risk prediction," Papers, arXiv.org, number 1707.04831, Jul.
- Vasilios Plakandaras & Rangan Gupta & Periklis Gogas & Theophilos Papadimitriou, 2017, "Forecasting the U.S. Real House Price Index," Papers, arXiv.org, number 1707.04868, Jul.
- Matthew F Dixon, 2017, "Sequence Classification of the Limit Order Book using Recurrent Neural Networks," Papers, arXiv.org, number 1707.05642, Jul.
- Nalan Basturk & Stefano Grassi & Lennart Hoogerheide & Anne Opschoor & Herman K. van Dijk, 2017, "The R package MitISEM: Efficient and robust simulation procedures for Bayesian inference," Working Paper, Norges Bank, number 2017/10, Jun.
- Takaya Fukui & Akihiko Takahashi, 2017, ""Investment with deep learning" (in Japanese)," CIRJE J-Series, CIRJE, Faculty of Economics, University of Tokyo, number CIRJE-J-287, Jul.