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Report NEP-BIG-2024-09-09
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:
- Wee Ling Tan & Stephen Roberts & Stefan Zohren, 2024, "Deep Learning for Options Trading: An End-To-End Approach," Papers, arXiv.org, number 2407.21791, Jul.
- Haowei Ni & Shuchen Meng & Xupeng Chen & Ziqing Zhao & Andi Chen & Panfeng Li & Shiyao Zhang & Qifu Yin & Yuanqing Wang & Yuxi Chan, 2024, "Harnessing Earnings Reports for Stock Predictions: A QLoRA-Enhanced LLM Approach," Papers, arXiv.org, number 2408.06634, Aug, revised Nov 2024.
- Teng Ye & Jingnan Zheng & Junhui Jin & Jingyi Qiu & Wei Ai & Qiaozhu Mei, 2024, "Using Artificial Intelligence to Unlock Crowdfunding Success for Small Businesses," Papers, arXiv.org, number 2407.09480, Apr.
- Gregory Yampolsky & Dhruv Desai & Mingshu Li & Stefano Pasquali & Dhagash Mehta, 2024, "Case-based Explainability for Random Forest: Prototypes, Critics, Counter-factuals and Semi-factuals," Papers, arXiv.org, number 2408.06679, Aug.
- Achintya Gopal, 2024, "NeuralFactors: A Novel Factor Learning Approach to Generative Modeling of Equities," Papers, arXiv.org, number 2408.01499, Aug.
- Jian-Qiao Zhu & Joshua C. Peterson & Benjamin Enke & Thomas L. Griffiths, 2024, "Capturing the Complexity of Human Strategic Decision-Making with Machine Learning," Papers, arXiv.org, number 2408.07865, Aug.
- Hué, Sullivan & Hurlin, Christophe & Pérignon, Christophe & Saurin, Sébastien, 2022, "Explainable Performance," HEC Research Papers Series, HEC Paris, number 1463, Nov, DOI: 10.2139/ssrn.4280563.
- Thiago Christiano Silva & Paulo Victor Berri Wilhelm & Diego Raphael Amancio, 2024, "Machine Learning and Economic Forecasting: the role of international trade networks," Working Papers Series, Central Bank of Brazil, Research Department, number 597, Aug.
- Ugo Bolletta & Laurens Cherchye & Thomas Demuynck & Bram De Rock & Luca Paolo Merlino, 2024, "Identifying Marriage Markets," Working Papers ECARES, ULB -- Universite Libre de Bruxelles, number 2024-12, Jul.
- Michel Alexandre & Thiago Christiano Silva & Francisco Aparecido Rodrigues, 2024, "Critical Edges in Financial Networks," Working Papers Series, Central Bank of Brazil, Research Department, number 594, Aug.
- Kishore Mullangi, 2023, "Innovations in Payment Processing: Integrating Accelerated Testing for Enhanced Security," Post-Print, HAL, number hal-04647281, Jul.
- Klatt, Nikolina, 2024, "Judicial rulings and political narratives: Analyzing the impact of Roe v. Wade's overturning on digital discourse using machine learning," Discussion Papers, Research Unit: Transformations of Democracy, WZB Berlin Social Science Center, number SP V 2024-502.
- Cordier, J.; & Geissler, A.; & Vogel, J.;, 2024, "Entity embedding of high-dimensional claims data for hospitalized exacerbation prediction," Health, Econometrics and Data Group (HEDG) Working Papers, HEDG, c/o Department of Economics, University of York, number 24/09, Aug.
- Andras Komaromi & Xiaomin Wu & Ran Pan & Yang Liu & Pablo Cisneros & Anchal Manocha & Hiba El Oirghi, 2024, "Enhancing IMF Economics Training: AI-Powered Analysis of Qualitative Learner Feedback," IMF Working Papers, International Monetary Fund, number 2024/166, Aug.
- Jianqing Fan & Weining Wang & Yue Zhao, 2024, "Conditional nonparametric variable screening by neural factor regression," CeMMAP working papers, Institute for Fiscal Studies, number 17/24, Aug, DOI: 10.47004/wp.cem.2024.1724.
- Julian Ashwin & Paul Beaudry & Martin Ellison, 2024, "Neural Network Learning for Nonlinear Economies," NBER Working Papers, National Bureau of Economic Research, Inc, number 32807, Aug.
- Margherita Borella & Francisco A. Bullano & Mariacristina De Nardi & Benjamin Krueger & Elena Manresa, 2024, "Health Inequality and Health Types," NBER Working Papers, National Bureau of Economic Research, Inc, number 32799, Aug.
- Brian Jabarian, 2024, "Large Language Models for Behavioral Economics: Internal Validity and Elicitation of Mental Models," Papers, arXiv.org, number 2407.12032, Jun.
- Breen, Casey & Fatehkia, Masoomali & Yan, Jiani & Zhao, Xinyi & Leasure, Douglas R. & Weber, Ingmar & Kashyap, Ridhi, 2024, "Mapping subnational gender gaps in internet and mobile adoption using social media data," SocArXiv, Center for Open Science, number qnzsw, Aug, DOI: 10.31219/osf.io/qnzsw.
- Juan Imbet & J. Anthony Cookson & Corbin Fox & Christoph Schiller & Javier Gil-Bazo, 2024, "Social Media as a Bank Run Catalyst," Post-Print, HAL, number hal-04660083.
- Dhammika Dharmapala & Aziz Huq, 2024, "Imputing Unreported Hate Crimes Using Google Search Data," CESifo Working Paper Series, CESifo, number 11245.
- Lucas Mar√≠n Llanes & Manuel Fern√°ndez Sierra & Mar√≠a Alejandra V√©lez Lesmes & Eduard Mart√≠nez Gonz√°lez & Paulo Murillo Sandoval, 2024, "Coca-Based Local Growth and Its Socio-Economic Impact in Colombia," Documentos CEDE, Universidad de los Andes, Facultad de Economía, CEDE, number 21186, Aug.
- Nils Wernerfelt & Anna Tuchman & Bradley Shapiro & Robert Moakler, 2024, "Estimating the Value of Offsite Tracking Data to Advertisers: Evidence from Meta," NBER Working Papers, National Bureau of Economic Research, Inc, number 32765, Aug.