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Report NEP-BIG-2019-06-24
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:
- Michael Allan Ribers & Hannes Ullrich, 2019, "Battling antibiotic resistance: can machine learning improve prescribing?," CESifo Working Paper Series, CESifo, number 7654.
- Mitnik, Oscar A. & Sanchez, Raul & Yáñez-Pagans, Patricia, 2018, "Bright Investments: Measuring the Impact of Transport Infrastructure Using Luminosity Data in Haiti," IDB Publications (Working Papers), Inter-American Development Bank, number 28, Dec, DOI: http://dx.doi.org/10.18235/0001474.
- Jillian Grennan & Roni Michaely, 2019, "FinTechs and the Market for Financial Analysis," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 19-10, Mar, revised Apr 2019.
- Simon Schnurch & Andreas Wagner, 2019, "Machine Learning on EPEX Order Books: Insights and Forecasts," Papers, arXiv.org, number 1906.06248, Jun, revised Sep 2019.
- Laura Palagi & Ruggiero Seccia, 2019, "Online Block Layer Decomposition schemes for training Deep Neural Networks," DIAG Technical Reports, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza", number 2019-06.
- Giovanni Barone-Adesi & Antonietta Mira & Matteo Pisati, 2019, "The Keys of Predictability: A Comprehensive Study," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 19-15, Mar, revised Apr 2019.
- Rishab Guha & Serena Ng, 2019, "A Machine Learning Analysis of Seasonal and Cyclical Sales in Weekly Scanner Data," NBER Working Papers, National Bureau of Economic Research, Inc, number 25899, May.
- Suyong Song & Stephen S. Baek, 2019, "Shape Matters: Evidence from Machine Learning on Body Shape-Income Relationship," Papers, arXiv.org, number 1906.06747, Jun.
- Item repec:hal:wpaper:hal-02149355 is not listed on IDEAS anymore
- Gill Newton, 2019, "Mining Family History Society Burials," Working Papers, Department of Economic and Social History at the University of Cambridge, number 34, Jun, revised 13 Jun 2019.
- André Binette & Karyne B. Charbonneau & Nicholas Curtis & Gabriela Galassi & Scott Counts & Justin Cranshaw, 2019, "Online Job Seekers in Canada: What Can We Learn from Bing Job Queries?," Staff Analytical Notes, Bank of Canada, number 2019-18, Jun, DOI: 10.34989/san-2019-18.
- Wendy C.Y. LI & Makoto NIREI & Kazufumi YAMANA, 2019, "Value of Data: There's No Such Thing as a Free Lunch in the Digital Economy," Discussion papers, Research Institute of Economy, Trade and Industry (RIETI), number 19022, Mar.
- Jozef Barunik & Cathy Yi-Hsuan Chen & Jan Vecer, 2019, "Sentiment-Driven Stochastic Volatility Model: A High-Frequency Textual Tool for Economists," Papers, arXiv.org, number 1906.00059, May.