Report NEP-CMP-2019-09-30

This is the archive for NEP-CMP, a report on new working papers in the area of Computational Economics. Stan Miles issued this report. It is usually issued weekly.

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Other reports in NEP-CMP

The following items were announced in this report:

• Miroslav Despotovic & David Koch & Sascha Leiber, 2019. "Automatic extraction of condition-specific visual characteristics from buildings," ERES eres2019_284, European Real Estate Society (ERES).
• Angelos Filos, 2019. "Reinforcement Learning for Portfolio Management," Papers 1909.09571, arXiv.org.
• Shenhao Wang & Baichuan Mo & Jinhua Zhao, 2019. "Deep Neural Networks for Choice Analysis: Architectural Design with Alternative-Specific Utility Functions," Papers 1909.07481, arXiv.org, revised Apr 2021.
• Jamaledini, Ashkan & Soltani, Ali & Khazaei, Ehsan, 2019. "Modified Charged System Search Algorithm for Economic Optimal Scheduling of Microgrid in Grid-Connected Mode," MPRA Paper 95896, University Library of Munich, Germany.
• Item repec:hal:wpaper:hal-02291548 is not listed on IDEAS anymore

• Daan Kolkman & Arjen van Witteloostuijn, 2019. "Data Science in Strategy: Machine learning and text analysis in the study of firm growth," Tinbergen Institute Discussion Papers 19-066/VI, Tinbergen Institute.
• Jialin Liu & Chih-Min Lin & Fei Chao, 2019. "Gradient Boost with Convolution Neural Network for Stock Forecast," Papers 1909.09563, arXiv.org.
• Khazaei, Ehsan & Jamaledini, Ashkan & Soltani, Ali, 2019. "Economic Self-Operation of Microgrids By Gravitational Emulation Local Search Algorithm," MPRA Paper 95895, University Library of Munich, Germany.
• S'ergio Bacelar & Luis Antunes, 2019. "Generational political dynamics of retirement pensions systems: An agent based model," Papers 1909.08706, arXiv.org.
• Tim Morris & Michael Crowther, 2019. "The right way to code simulation studies in Stata," London Stata Conference 2019 07, Stata Users Group.
• Annette Ficker & Frits Spieksma & G Woeginger, 2018. "Robust balanced optimization," Working Papers of Department of Decision Sciences and Information Management, Leuven 611921, KU Leuven, Faculty of Economics and Business (FEB), Department of Decision Sciences and Information Management, Leuven.
• Sruthi Davuluri & René García Franceschini & Christopher R. Knittel & Chikara Onda & Kelly Roache, 2019. "Machine Learning for Solar Accessibility: Implications for Low-Income Solar Expansion and Profitability," NBER Working Papers 26178, National Bureau of Economic Research, Inc.