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Report NEP-BIG-2018-12-17
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:
- Suproteem K. Sarkar & Kojin Oshiba & Daniel Giebisch & Yaron Singer, 2018, "Robust Classification of Financial Risk," Papers, arXiv.org, number 1811.11079, Nov.
- Nymand-Andersen, Per & Pantelidis, Emmanouil, 2018, "Google econometrics: nowcasting euro area car sales and big data quality requirements," Statistics Paper Series, European Central Bank, number 30, Nov.
- Zihao Zhang & Stefan Zohren & Stephen Roberts, 2018, "BDLOB: Bayesian Deep Convolutional Neural Networks for Limit Order Books," Papers, arXiv.org, number 1811.10041, Nov.
- Vangelis Bacoyannis & Vacslav Glukhov & Tom Jin & Jonathan Kochems & Doo Re Song, 2018, "Idiosyncrasies and challenges of data driven learning in electronic trading," Papers, arXiv.org, number 1811.09549, Nov, revised Nov 2018.
- Greg Kirczenow & Masoud Hashemi & Ali Fathi & Matt Davison, 2018, "Machine Learning for Yield Curve Feature Extraction: Application to Illiquid Corporate Bonds," Papers, arXiv.org, number 1812.01102, Nov.
- Guven, Faruk, 2018, "Churn and loyalty behaviour of Turkish digital natives," 29th European Regional ITS Conference, Trento 2018, International Telecommunications Society (ITS), number 184943.
- Gary Koop & Stuart McIntyre & James Mitchell & Aubrey Poon, 2018, "Regional Output Growth in the United Kingdom: More Timely and Higher Frequency Estimates, 1970-2017," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers, Economic Statistics Centre of Excellence (ESCoE), number ESCoE DP-2018-14, Nov.
- Arnold, René & Marcus, J. Scott & Petropoulos, Georgios & Schneider, Anna, 2018, "Is data the new oil? Diminishing returns to scale," 29th European Regional ITS Conference, Trento 2018, International Telecommunications Society (ITS), number 184927.
- Rajani & Pankaj Sambyal & Shalini Sharma, 2018, "Sentiment Analysis And Classification Of Tweets Based On Ideologies," Proceedings of International Academic Conferences, International Institute of Social and Economic Sciences, number 7010170, Oct.
- Th'arsis T. P. Souza & Tomaso Aste, 2018, "Predicting future stock market structure by combining social and financial network information," Papers, arXiv.org, number 1812.01103, Nov.
- Letizia Mencarini & Delia Irazú Hernández-Farías & Mirko Lai & Viviana Patti & Emilio Sulis & Daniele Vignoli, 2018, "Italian happy parents In Twitter," Working Papers, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi, number 117, Apr.
- Kai Gehring & Valentin F. Lang, 2018, "Stigma or Cushion? IMF Programs and Sovereign Creditworthiness," CESifo Working Paper Series, CESifo, number 7339.
- John Cuffe & Nathan Goldschlag, 2018, "Squeezing More Out of Your Data: Business Record Linkage with Python," Working Papers, Center for Economic Studies, U.S. Census Bureau, number 18-46, Nov.