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Report NEP-BIG-2021-08-09
This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé (Tom Coupe) issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-BIG
The following items were announced in this report:
- Longbing Cao, 2021, "AI in Finance: Challenges, Techniques and Opportunities," Papers, arXiv.org, number 2107.09051, Jul.
- Tara M. Sinclair & Zhoudan Xie, 2021, "Sentiment and uncertainty about regulation," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2021-54, Jul.
- Rowe, Francisco & Mahony, Michael & Graells-Garrido, Eduardo & Rango, Marzia & Sievers, Niklas, 2021, "Using Twitter to Track Immigration Sentiment During Early Stages of the COVID-19 Pandemic," SocArXiv, Center for Open Science, number pc3za, Jul, DOI: 10.31219/osf.io/pc3za.
- Thomas Conlon & John Cotter & Iason Kynigakis, 2021, "Machine Learning and Factor-Based Portfolio Optimization," Working Papers, Geary Institute, University College Dublin, number 202111, Mar.
- Peter Eccles & Paul Grout & Paolo Siciliani & Anna Zalewska, 2021, "The impact of machine learning and big data on credit markets," Bank of England working papers, Bank of England, number 930, Jul.
- Andrea Pontiggia & Giovanni Fasano, 2021, "Data Analytics and Machine Learning paradigm to gauge performances combining classification, ranking and sorting for system analysis," Working Papers, Venice School of Management - Department of Management, Università Ca' Foscari Venezia, number 05, Jul.
- Leo S.F. Lin, 2021, "Artificial Intelligence and China’s Grand Strategy," Scientia Moralitas Conference Proceedings, Research Association for Interdisciplinary Studies, number 01240, May.
- Yusuke NARITA & Kohei YATA, 2021, "Algorithm is Experiment: Machine Learning, Market Design, and Policy Eligibility Rules," Discussion papers, Research Institute of Economy, Trade and Industry (RIETI), number 21057, Jul.
- Qinkai Chen, 2021, "Stock Movement Prediction with Financial News using Contextualized Embedding from BERT," Papers, arXiv.org, number 2107.08721, Jul.
- Akihiko Takahashi & Toshihiro Yamada, 2021, "Asymptotic Expansion and Deep Neural Networks Overcome the Curse of Dimensionality in the Numerical Approximation of Kolmogorov Partial Differential Equations with Nonlinear Coefficients," CIRJE F-Series, CIRJE, Faculty of Economics, University of Tokyo, number CIRJE-F-1167, May.
- Wei Li & Florentina Paraschiv & Georgios Sermpinis, 2021, "A Data-driven Explainable Case-based Reasoning Approach for Financial Risk Detection," Papers, arXiv.org, number 2107.08808, Jul.
- Item repec:pdn:dispap:79 is not listed on IDEAS anymore
- Stephan Zheng & Alexander Trott & Sunil Srinivasa & David C. Parkes & Richard Socher, 2021, "The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning," Papers, arXiv.org, number 2108.02755, Aug.
- Wei, Xuan & Zhang, Zhu & Zhang, Mingyue & Chen, Weiyun & Zeng, Daniel Dajun, 2021, "Online Supplements: Combining Crowd and Machine Intelligence to Detect False News in Social Media," OSF Preprints, Center for Open Science, number 6svp9, Jul, DOI: 10.31219/osf.io/6svp9.
- Stathis Polyzos & Anestis Fotiadis & Aristeidis Samitas, 2021, "COVID-19 Tourism Recovery in the ASEAN and East Asia Region: Asymmetric Patterns and Implications," Working Papers, Economic Research Institute for ASEAN and East Asia (ERIA), number DP-2021-12, Jun.
- Gadat, Sébastien & Corre, Lola & Doury, Antoine & Ribes, Aurélien & Somot, Samuel, 2021, "Regional Climate Model Emulator Based on Deep Learning: Concept and First Evaluation of a Novel Hybrid Downscaling Approach," TSE Working Papers, Toulouse School of Economics (TSE), number 21-1233, Jul.
- Yuga Iguchi & Riu Naito & Yusuke Okano & Akihiko Takahashi & Toshihiro Yamada, 2021, "Deep Asymptotic Expansion with Weak Approximation ," CIRJE F-Series, CIRJE, Faculty of Economics, University of Tokyo, number CIRJE-F-1168, May.
- Shubham Ekapure & Nuruddin Jiruwala & Sohan Patnaik & Indranil SenGupta, 2021, "A data-science-driven short-term analysis of Amazon, Apple, Google, and Microsoft stocks," Papers, arXiv.org, number 2107.14695, Jul.
- Dave Cliff & James Hawkins & James Keen & Roberto Lau-Soto, 2021, "Implementing the BBE Agent-Based Model of a Sports-Betting Exchange," Papers, arXiv.org, number 2108.02419, Aug.
- Yose Rizal Damuri & Prabaning Tyas & Haryo Aswicahyono & Lionel Priyadi & Stella Kusumawardhani & Ega Kurnia Yazid, 2021, "Tracking the Ups and Downs in Indonesia’s Economic Activity During COVID-19 Using Mobility Index: Evidence from Provinces in Java and Bali," Working Papers, Economic Research Institute for ASEAN and East Asia (ERIA), number DP-2021-18, Jul.