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Report NEP-BIG-2018-10-01
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:
- Donna Feir & Rob Gillezeau & Maggie Jones, 2018, "Illuminating Indigenous Economic Development," Department Discussion Papers, Department of Economics, University of Victoria, number 1806, Sep.
- Nicolaas Johannes Odendaal & Monique Reid, 2018, "Media based sentiment indices as an alternative measure of consumer confidence," Working Papers, Stellenbosch University, Department of Economics, number 17/2018.
- Ifft, Jennifer E. & Kuhns, Ryan & Patrick, Kevin T., , "Predicting Credit Demand with ARMS: A Machine Learning Approach," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois, Agricultural and Applied Economics Association, number 258134, DOI: 10.22004/ag.econ.258134.
- Zhu, Manhong & Schmitz, Andrew & Schmitz, Troy G., , "What are the Culprits Causing Obesity? A Machine Learning Approach in Variable Selection and Parameter Coefficient Inference," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois, Agricultural and Applied Economics Association, number 261220, DOI: 10.22004/ag.econ.261220.
- Michael Zimmert, 2018, "Efficient Difference-in-Differences Estimation with High-Dimensional Common Trend Confounding," Papers, arXiv.org, number 1809.01643, Sep, revised Aug 2020.
- Mabe, Queen Magadi & Lin, Wei, 2018, "Determinants of Corporate Failure: The Case of the Johannesburg Stock Exchange," MPRA Paper, University Library of Munich, Germany, number 88485, Aug.
- Larson, D., 2018, "The consequences of cyclone and seasonal crop risks for wealth and technology adoption in rural Mozambique," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia, International Association of Agricultural Economists, number 275916, Jul, DOI: 10.22004/ag.econ.275916.
- Marian Gidea & Daniel Goldsmith & Yuri Katz & Pablo Roldan & Yonah Shmalo, 2018, "Topological recognition of critical transitions in time series of cryptocurrencies," Papers, arXiv.org, number 1809.00695, Sep.
- Lei Zhang, 2018, "Artificial Neural Network Based Chaotic Generator Design for The Prediction of Financial Time Series," Proceedings of International Academic Conferences, International Institute of Social and Economic Sciences, number 6409417, Jun.
- Philipp Grohs & Fabian Hornung & Arnulf Jentzen & Philippe von Wurstemberger, 2018, "A proof that artificial neural networks overcome the curse of dimensionality in the numerical approximation of Black-Scholes partial differential equations," Papers, arXiv.org, number 1809.02362, Sep, revised Jan 2023.
- Philipp Bach & Victor Chernozhukov & Martin Spindler, 2018, "Valid Simultaneous Inference in High-Dimensional Settings (with the hdm package for R)," Papers, arXiv.org, number 1809.04951, Sep.
- Prakhar Ganesh & Puneet Rakheja, 2018, "VLSTM: Very Long Short-Term Memory Networks for High-Frequency Trading," Papers, arXiv.org, number 1809.01506, Sep, revised Oct 2020.
- Anastasis Kratsios & Cody Hyndman, 2018, "NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation," Papers, arXiv.org, number 1809.00082, Aug, revised May 2021.
- Crane-Droesch, Andrew, , "Semiparametric Panel Data Using Neural Networks," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois, Agricultural and Applied Economics Association, number 258128, DOI: 10.22004/ag.econ.258128.
- Toshiya WATANABE & Yuri HIRAI & Masami AKUTSU & Tomomi HIOKI & Norihito NAGAI, 2018, "Study on Management and Utilization of Data Generated from Industry (Japanese)," Discussion Papers (Japanese), Research Institute of Economy, Trade and Industry (RIETI), number 18028, Sep.