Printed from https://ideas.repec.org/n/nep-big/2022-05-09.html
Report NEP-BIG-2022-05-09
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:
- Sebastian Baran & Przemys{l}aw Rola, 2022, "Prediction of motor insurance claims occurrence as an imbalanced machine learning problem," Papers, arXiv.org, number 2204.06109, Apr.
- Arkadiusz Jk{e}drzejewski & Jesus Lago & Grzegorz Marcjasz & Rafa{l} Weron, 2022, "Electricity Price Forecasting: The Dawn of Machine Learning," Papers, arXiv.org, number 2204.00883, Apr.
- Yiyang Zheng, 2022, "Neural Network and Order Flow, Technical Analysis: Predicting short-term direction of futures contract," Papers, arXiv.org, number 2203.12457, Feb.
- Zhuangwei Shi & Yang Hu & Guangliang Mo & Jian Wu, 2022, "Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction," Papers, arXiv.org, number 2204.02623, Apr, revised Feb 2023.
- Peng Hu & Yaobin Lu & Yeming Gong, 2021, "Dual humanness and trust in conversational AI : A person-centered approach," Post-Print, HAL, number hal-03598766, Jun, DOI: 10.1016/j.chb.2021.106727.
- Denteh, Augustine & Liebert, Helge, 2022, "Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment," IZA Discussion Papers, IZA Network @ LISER, number 15192, Mar.
- Kerstin Hotte & Taheya Tarannum & Vilhelm Verendel & Lauren Bennett, 2022, "Measuring artificial intelligence: a systematic assessment and implications for governance," Papers, arXiv.org, number 2204.10304, Apr, revised Jul 2025.
- Jozef Barunik & Lubos Hanus, 2022, "Learning Probability Distributions in Macroeconomics and Finance," Papers, arXiv.org, number 2204.06848, Apr.
- Bruno Spilak & Wolfgang Karl Hardle, 2022, "Risk budget portfolios with convex Non-negative Matrix Factorization," Papers, arXiv.org, number 2204.02757, Apr, revised Jun 2023.
- Paola Mallia, 2022, "You reap what (you think) you sow? Evidence on farmers’behavioral adjustments in the case of correct crop varietal identification," Working Papers, HAL, number hal-03597332, Jul.
- Xianfei Hui & Baiqing Sun & Indranil SenGupta & Yan Zhou & Hui Jiang, 2022, "Stochastic volatility modeling of high-frequency CSI 300 index and dynamic jump prediction driven by machine learning," Papers, arXiv.org, number 2204.02891, Apr, revised Jan 2023.
- Sourav Medya & Mohammad Rasoolinejad & Yang Yang & Brian Uzzi, 2022, "An Exploratory Study of Stock Price Movements from Earnings Calls," Papers, arXiv.org, number 2203.12460, Jan.
- Carl Remlinger & Joseph Mikael & Romuald Elie, 2022, "Robust Operator Learning to Solve PDE," Working Papers, HAL, number hal-03599726, Apr.
- Mouad Lamrabet & Lam'Hammdi Hicham & Amal Tomal & Tariq Akdim & Taoufik Benkaraache, 2022, "Territorial Big Data, Digital Attractiveness, Living Lab And Augmented Metropolis: New Avenues Of Territorial Research And Practice," Post-Print, HAL, number hal-03586804, Feb.
- Guglielmo Briscese & Maddalena Grignani & Stephen Stapleton, 2022, "Crises and Political Polarization: Towards a Better Understanding of the Timing and Impact of Shocks and Media," Papers, arXiv.org, number 2202.12339, Feb, revised Feb 2023.
- Elliott Ash & Daniel L. Chen & Sergio Galletta, 2022, "Measuring Judicial Sentiment: Methods and Application to US Circuit Courts," Post-Print, HAL, number hal-03597819, DOI: 10.1111/ecca.12397.
- Pier Luigi Sacco & Alex Arenas & Manlio De Domenico, 2022, "The political economy of big data leaks: Uncovering the skeleton of tax evasion," Papers, arXiv.org, number 2202.13417, Feb.