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Report NEP-BIG-2017-09-17
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.Subscribe to this report: email, RSS, or Mastodon.
Other reports in NEP-BIG
The following items were announced in this report:
- Jean-Pierre Dubé & Sanjog Misra, 2017. "Personalized Pricing and Consumer Welfare," NBER Working Papers 23775, National Bureau of Economic Research, Inc.
- Zheqing Zhu & Jian-guo Liu & Lei Li, 2017. "A Modified Levy Jump-Diffusion Model Based on Market Sentiment Memory for Online Jump Prediction," Papers 1709.03611, arXiv.org.
- Guosheng Hu & Yuxin Hu & Kai Yang & Zehao Yu & Flood Sung & Zhihong Zhang & Fei Xie & Jianguo Liu & Neil Robertson & Timothy Hospedales & Qiangwei Miemie, 2017. "Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions," Papers 1709.03803, arXiv.org, revised Feb 2018.
- Wolfgang Kerber, 2017. "Rights on Data: The EU Communication ‘Building a European Data Economy’ From an Economic Perspective," MAGKS Papers on Economics 201735, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
- Kabin Kanjamapornkul & Richard Pinv{c}'ak & Sanphet Chunithpaisan & Erik Bartov{s}, 2017. "Support Spinor Machine," Papers 1709.03943, arXiv.org.
- Miguel-Angel Luque Fernandez, 2017. "eltmle: Ensemble learning targeted maximum likelihood estimation," United Kingdom Stata Users' Group Meetings 2017 18, Stata Users Group.
- Ben Jann, 2017. "kmatch: Kernel matching with automatic bandwidth selection," United Kingdom Stata Users' Group Meetings 2017 11, Stata Users Group.