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Report NEP-CMP-2020-12-14
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:
- Xiao-Yang Liu & Hongyang Yang & Qian Chen & Runjia Zhang & Liuqing Yang & Bowen Xiao & Christina Dan Wang, 2020, "FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance," Papers, arXiv.org, number 2011.09607, Nov, revised Mar 2022.
- Item repec:spo:wpmain:info:hdl:2441/6ummnc8nko827b2luohnctekk7 is not listed on IDEAS anymore
- Marc Sabate-Vidales & David v{S}iv{s}ka & Lukasz Szpruch, 2020, "Solving path dependent PDEs with LSTM networks and path signatures," Papers, arXiv.org, number 2011.10630, Nov.
- Aurélien Nioche & Nicolas P. Rougier & Marc Deffains & Sacha Bourgeois-Gironde & Sébastien Ballesta & Thomas Boraud, 2021, "The adaptive value of probability distortion and risk-seeking in macaques' decision-making," Post-Print, HAL, number hal-03005035, Jan, DOI: 10.1098/rstb.2019.0668.
- Nhung Luu & Nicolas Woloszko & Orsetta Causa & Christine Arriola & Frank van Tongeren & Åsa Johansson, 2020, "Mapping trade to household budget survey: A conversion framework for assessing the distributional impact of trade policies," OECD Trade Policy Papers, OECD Publishing, number 244, Dec, DOI: 10.1787/5fc6181b-en.
- Kitova, Olga & Dyakonova, Ludmila & Savinova, Victoria, 2020, "Prediction of Socio-Economic Indicators of the Megapolis Development on the Basis of the Intellectual Forecasting Information System “SHM Horizon”," MPRA Paper, University Library of Munich, Germany, number 104234, Jul, revised 19 Nov 2020.
- Nicolas Woloszko, 2020, "Tracking activity in real time with Google Trends," OECD Economics Department Working Papers, OECD Publishing, number 1634, Dec, DOI: 10.1787/6b9c7518-en.
- Sriubaite, I. & Harris, A. & Jones, A.M. & Gabbe, B., 2020, "Economic Consequences of Road Traffic Injuries. Application of the Super Learner algorithm," Health, Econometrics and Data Group (HEDG) Working Papers, HEDG, c/o Department of Economics, University of York, number 20/20, Nov.
- Balaji, S. J. & Babu, Suresh Chandra & Pal, Suresh, 2020, "Research-policy linkages: Empirical evidence from agroeconomic research in India," IFPRI discussion papers, International Food Policy Research Institute (IFPRI), number 1970.
- Marcelo T. LaFleur, 2019, "Art is long, life is short: An SDG Classification System for DESA Publications," Working Papers, United Nations, Department of Economics and Social Affairs, number 159, May.
- Srijan Sood & Zhen Zeng & Naftali Cohen & Tucker Balch & Manuela Veloso, 2020, "Visual Time Series Forecasting: An Image-driven Approach," Papers, arXiv.org, number 2011.09052, Nov, revised Nov 2021.
- Hamza Saad, 2020, "The Application of Data Mining in the Production Processes," Papers, arXiv.org, number 2011.12348, Nov.
- Cerqua, Augusto & Letta, Marco, 2020, "Local economies amidst the COVID-19 crisis in Italy: a tale of diverging trajectories," MPRA Paper, University Library of Munich, Germany, number 104404, Nov.
- Mengjin Zhao & Guangyan Jia, 2020, "Continuous-Time Risk Contribution of the Terminal Variance and its Related Risk Budgeting Problem," Papers, arXiv.org, number 2011.10747, Nov, revised Feb 2022.
- Hamza Saad, 2020, "Use Bagging Algorithm to Improve Prediction Accuracy for Evaluation of Worker Performances at a Production Company," Papers, arXiv.org, number 2011.12343, Nov.
- Dario Sansone & Anna Zhu, 2020, "Using Machine Learning to Create an Early Warning System for Welfare Recipients," Papers, arXiv.org, number 2011.12057, Nov, revised May 2021.
- Tamer Boyaci, & Caner Canyakmaz, & Francis de Véricourt,, 2020, "Human and machine: The impact of machine input on decision-making under cognitive limitations," ESMT Research Working Papers, ESMT European School of Management and Technology, number ESMT-20-02, Nov.
- Anna Scherbakova, 2020, "Comparative Study Of Data Clustering Algorithms And Analysis Of The Keywords Extraction Efficiency: Learner Corpus Case," HSE Working papers, National Research University Higher School of Economics, number WP BRP 97/LNG/2020.
- Yifan Yu & Shan Huang & Yuchen Liu & Yong Tan, 2020, "Emotions in Online Content Diffusion," Papers, arXiv.org, number 2011.09003, Nov, revised Mar 2022.