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Report NEP-CMP-2017-10-22
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:
- Simone Pellegrino & Guido Perboli & Giovanni Squillero, 2017, "Balancing the Equity-efficiency Trade-off in Personal Income Taxation: An Evolutionary Approach," Working papers, Department of Economics, Social Studies, Applied Mathematics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino, number 044, Oct.
- Masafumi Nakano & Akihiko Takahashi & Soichiro Takahashi, 2017, "State Space Approach to Adaptive Fuzzy Modeling: Application to Financial Investment," CIRJE F-Series, CIRJE, Faculty of Economics, University of Tokyo, number CIRJE-F-1067, Oct.
- Nicolas Carnot & Magdalena Kizior & Gilles Mourre, 2017, "Fiscal stabilisation in the Euro-Area: A simulation exercise," Working Papers CEB, ULB -- Universite Libre de Bruxelles, number 17-025, Oct.
- Item repec:unu:wpaper:wp2017-177 is not listed on IDEAS anymore
- Kasun Bandara & Christoph Bergmeir & Slawek Smyl, 2017, "Forecasting Across Time Series Databases using Recurrent Neural Networks on Groups of Similar Series: A Clustering Approach," Papers, arXiv.org, number 1710.03222, Oct, revised Sep 2018.
- Giorgio Fagiolo & Mattia Guerini & Francesco Lamperti & Alessio Moneta & Andrea Roventini, 2017, "Validation of Agent-Based Models in Economics and Finance," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2017/23, Sep.
- Justin Sirignano & Konstantinos Spiliopoulos, 2017, "Stochastic Gradient Descent in Continuous Time: A Central Limit Theorem," Papers, arXiv.org, number 1710.04273, Oct, revised Jun 2019.
- Justin Caron & Thibault Fally & James R. Markusen, 2017, "Per Capita Income and the Demand for Skills," CESifo Working Paper Series, CESifo, number 6514.
- Masaaki Fujii & Akihiko Takahashi & Masayuki Takahashi, 2017, "Asymptotic Expansion as Prior Knowledge in Deep Learning Method for high dimensional BSDEs," Papers, arXiv.org, number 1710.07030, Oct, revised Mar 2019.