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Report NEP-BIG-2025-12-15
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:
- Ethan Hartley, 2025, "Narratives to Numbers: Large Language Models and Economic Policy Uncertainty," Papers, arXiv.org, number 2511.17866, Nov, revised Nov 2025.
- Brian Ezinwoke & Oliver Rhodes, 2025, "Predicting Price Movements in High-Frequency Financial Data with Spiking Neural Networks," Papers, arXiv.org, number 2512.05868, Dec.
- Takayuki Sakuma, 2025, "Diagram-to-Circuit QNLP for Financial Sentiment Analysis," Papers, arXiv.org, number 2511.18804, Nov, revised Dec 2025.
- Xiaohong Chen & Wayne Yuan Gao & Likang Wen, 2025, "ReLU-Based and DNN-Based Generalized Maximum Score Estimators," Papers, arXiv.org, number 2511.19121, Nov.
- Feng, Yuan & Liu, Shuang & Zhang, Man & Jin, Yanhong & Yu, Xiaohua, 2024, "Investigating Factors Influencing Dietary Quality in China: Machine Learning Approaches," 2024 Annual Meeting, July 28-30, New Orleans, LA, Agricultural and Applied Economics Association, number 343836, DOI: 10.22004/ag.econ.343836.
- Zhang, Yuxiang & Liu, Yizao & Sears, James M., 2024, "Using Machine Learning Method to Estimate the Heterogeneous Impacts of the Updated Nutrition Facts Panel," 2024 Annual Meeting, July 28-30, New Orleans, LA, Agricultural and Applied Economics Association, number 343727, DOI: 10.22004/ag.econ.343727.
- Sidharth Rony & Jack Patman, 2025, "Standard Occupation Classifier -- A Natural Language Processing Approach," Papers, arXiv.org, number 2511.23057, Nov.
- Stefano Vrizzi & Daniel W. O'Neill, 2025, "Modelling the Doughnut of social and planetary boundaries with frugal machine learning," Papers, arXiv.org, number 2512.02200, Dec, revised Dec 2025.
- Klakow Akepanidtaworn & Korkrid Akepanidtaworn, 2025, "GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies," IMF Working Papers, International Monetary Fund, number 2025/252, Dec.
- Paulo Roberto de Melo Barros Junior & Monica Alexandra Vilar Ribeiro De Meireles & Jose Luis Lima de Jesus Silva, 2025, "Optimizing Information Asset Investment Strategies in the Exploratory Phase of the Oil and Gas Industry: A Reinforcement Learning Approach," Papers, arXiv.org, number 2512.00243, Nov.
- Sang-Kyu Lee, 2025, "Enhancing the Efficiency of National R&D Programs Using Machine Learning-Based Anomaly Detection," Industrial Economic Review, Korea Institute for Industrial Economics and Trade, number 021804, Oct.
- Xiang Gao & Cody Hyndman, 2025, "Arbitrage-Free Bond and Yield Curve Forecasting with Neural Filters under HJM Constraints," Papers, arXiv.org, number 2511.17892, Nov.
- Kamal Paykan, 2025, "Cryptocurrency Portfolio Management with Reinforcement Learning: Soft Actor--Critic and Deep Deterministic Policy Gradient Algorithms," Papers, arXiv.org, number 2511.20678, Nov.
- Zhiming Lian, 2025, "Financial Text Classification Based On rLoRA Finetuning On Qwen3-8B model," Papers, arXiv.org, number 2512.00630, Nov.