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Report NEP-CMP-2019-12-09
This is the archive for NEP-CMP, a report on new working papers in the area of Computational Economics. Stanley Miles issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-CMP
The following items were announced in this report:
- Bertani, Filippo & Ponta, Linda & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2019, "The complexity of the intangible digital economy: an agent-based model," MPRA Paper, University Library of Munich, Germany, number 97071, Nov.
- Liu Guang & Wang Xiaojie & Li Ruifan, 2019, "Multi-Scale RCNN Model for Financial Time-series Classification," Papers, arXiv.org, number 1911.09359, Nov.
- Nyoni, Thabani, 2019, "Exports and imports in Zimbabwe: recent insights from artificial neural networks," MPRA Paper, University Library of Munich, Germany, number 96906, Nov.
- Toshikuni Sato, 2019, "Investigating the Impacts of Customer Experience and Attribute Performances on Overall Ratings using Online Review Data: Nonlinear Estimation and Visualization with a Neural Network," DSSR Discussion Papers, Graduate School of Economics and Management, Tohoku University, number 105, Nov.
- Mayaud, Jerome & Anderson, Sam & Tran, Martino & Radic, Valentina, 2018, "Insights from self-organizing maps for predicting accessibility demand for healthcare infrastructure," SocArXiv, Center for Open Science, number yngx4, Oct, DOI: 10.31219/osf.io/yngx4.
- Xiao, Tim, 2018, "Incremental Risk Charge Methodology," SocArXiv, Center for Open Science, number y43dx, Aug, DOI: 10.31219/osf.io/y43dx.
- Suarez, Ronny, 2019, "A Monte Carlo Simulation Framework to Track Panama NDC Target," MPRA Paper, University Library of Munich, Germany, number 97022, Nov.
- Martin Stepanek, 2019, "Sectoral Impacts of International Labour Migration and Population Ageing in the Czech Republic," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2019/15, Jun, revised Jun 2019.
- Zihao Zhang & Stefan Zohren & Stephen Roberts, 2019, "Deep Reinforcement Learning for Trading," Papers, arXiv.org, number 1911.10107, Nov.
- Haipeng Xing, 2019, "A singular stochastic control approach for optimal pairs trading with proportional transaction costs," Papers, arXiv.org, number 1911.10450, Nov.
- John Armstrong & Cristin Buescu, 2019, "Collectivised Pension Investment with Homogeneous Epstein-Zin Preferences," Papers, arXiv.org, number 1911.10047, Nov.
- Binfield, Julian & Boulanger, Pierre & Davids, Tracy & Dudu, Hasan & Ferrari, Emanuele & Mainar-Causape, Alfredo & Meyer, Ferdi, 2019, "Enhancing CGE analysis with PE modelling of Kenyan agricultural and trade policy reforms," 2019 Sixth International Conference, September 23-26, 2019, Abuja, Nigeria, African Association of Agricultural Economists (AAAE), number 295839, Sep, DOI: 10.22004/ag.econ.295839.
- Siahaan, Andysah Putera Utama & Nasution, Muhammad Dharma Tuah Putra, 2018, "Entrepreneurship Intention Prediction using Decision Tree and Support Vector Machine," INA-Rxiv, Center for Open Science, number mznhb, Jun, DOI: 10.31219/osf.io/mznhb.
- Veale, Michael, 2017, "Logics and practices of transparency and opacity in real-world applications of public sector machine learning," SocArXiv, Center for Open Science, number 6cdhe, Nov, DOI: 10.31219/osf.io/6cdhe.
- Manduca, Robert, 2018, "The Spatial Structure of US Metropolitan Employment: New Insights from LODES Data," SocArXiv, Center for Open Science, number 6sxv5, Sep, DOI: 10.31219/osf.io/6sxv5.
- Veale, Michael & Van Kleek, Max & Binns, Reuben, 2018, "Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making," SocArXiv, Center for Open Science, number 8kvf4, Feb, DOI: 10.31219/osf.io/8kvf4.