Report NEP-CMP-2020-12-21

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.

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Other reports in NEP-CMP

The following items were announced in this report:

• Mike Ludkovski, 2020, "mlOSP: Towards a Unified Implementation of Regression Monte Carlo Algorithms," Papers, arXiv.org, number 2012.00729, Dec, revised Oct 2022.
• Burka, Dávid & Puppe, Clemens & Szepesváry, László & Tasnádi, Attila, 2020, "Voting: A machine learning approach," Working Paper Series in Economics, Karlsruhe Institute of Technology (KIT), Department of Economics and Management, number 145, DOI: 10.5445/IR/1000127945.
• Bojing Feng & Wenfang Xue & Bindang Xue & Zeyu Liu, 2020, "Every Corporation Owns Its Image: Corporate Credit Ratings via Convolutional Neural Networks," Papers, arXiv.org, number 2012.03744, Dec.
• Gao, Hang & Chen, Shenyang & Zhang, Michael, 2020, "Get More Out of Variable Speed Limit (VSL) Control: An Integrated Approach to Manage Traffic Corridors with Multiple Bottlenecks," Institute of Transportation Studies, Working Paper Series, Institute of Transportation Studies, UC Davis, number qt6th037wz, Oct.
• Glyn Wittwer & Kym Anderson, 2020, "A model of global beverage markets," Departmental Working Papers, The Australian National University, Arndt-Corden Department of Economics, number 2020-05.
• Majid Eskandarpour & Pierre Dejax & Olivier Péton, 2019, "Multi-Directional Local Search for Sustainable Supply Chain Network Design," Post-Print, HAL, number hal-02407741, Oct, DOI: 10.1080/00207543.2019.1696488.
• Lara Marie Demajo & Vince Vella & Alexiei Dingli, 2020, "Explainable AI for Interpretable Credit Scoring," Papers, arXiv.org, number 2012.03749, Dec.
• Sergio A. Pernice, 2020, "Serie de Machine Learning Análisis de Componentes Principales (PCA)," CEMA Working Papers: Serie Documentos de Trabajo., Universidad del CEMA, number 770, Dec.
• Lucian-Ionut Gavrila & Alexandru Popa, 2020, "A novel algorithm for clearing financial obligations between companies -- an application within the Romanian Ministry of Economy," Papers, arXiv.org, number 2012.05564, Dec.
• Kleinebrahm, Max & Torriti, Jacopo & McKenna, Russell & Ardone, Armin & Fichtner, Wolf, 2020, "Using neural networks to model long-term dependencies in occupancy behavior," Working Paper Series in Production and Energy, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP), number 49, DOI: 10.5445/IR/1000126271.
• Michal Balcerak & Thomas Schmelzer, 2020, "Constructing trading strategy ensembles by classifying market states," Papers, arXiv.org, number 2012.03078, Dec.