Report NEP-BIG-2018-07-30

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.

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Other reports in NEP-BIG

The following items were announced in this report:

• Victor Chernozhukov & Mert Demirer & Esther Duflo & Ivan Fernandez-Val, 2017. "Generic machine learning inference on heterogenous treatment effects in randomized experiments," CeMMAP working papers CWP61/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
• Masafumi Nakano & Akihiko Takahashi & Soichiro Takahashi, 2018. "Bitcoin Technical Trading with Articial Neural Network," CIRJE F-Series CIRJE-F-1090, CIRJE, Faculty of Economics, University of Tokyo.
• Amaury Loup Gayet, 2018. "How to transfer real time and big data management control methods of the industry to the service? [Comment transférer au service les méthodes de contrôle de gestion temps réel et big data de l'indu," Post-Print hal-01820412, HAL.
• Victor Chernozhukov & Kaspar Wüthrich & Yinchu Zhu, 2018. "Exact and robust conformal inference methods for predictive machine learning with dependent data," CeMMAP working papers CWP16/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
• Kleijnen, J.P.C. & van Beers, W.C.M., 2018. "Prediction for Big Data through Kriging : Small Sequential and One-Shot Designs," Discussion Paper 2018-022, Tilburg University, Center for Economic Research.
• Chien Yi Huang, 2018. "Financial Trading as a Game: A Deep Reinforcement Learning Approach," Papers 1807.02787, arXiv.org.
• Turrell, Arthur & Speigner, Bradley & Djumalieva, Jyldyz & Copple, David & Thurgood, James, 2018. "Using job vacancies to understand the effects of labour market mismatch on UK output and productivity," Bank of England working papers 737, Bank of England.
• IWAMOTO Koichi & TANOUE Yuta, 2018. "Digitization, Computerization, Networking, Automation, and the Future of Jobs in Japan," Policy Discussion Papers 18013, Research Institute of Economy, Trade and Industry (RIETI).
• Paola Cerchiello & Anca Mirela Toma, 2018. "ICOs success drivers: a textual and statistical analysis," DEM Working Papers Series 164, University of Pavia, Department of Economics and Management.