Report NEP-BIG-2023-01-16

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:

• Harrison Mateika & Juannan Jia & Linda Lillard & Noah Cronbaugh & Will Shin, 2022, "Fallen Angel Bonds Investment and Bankruptcy Predictions Using Manual Models and Automated Machine Learning," Papers, arXiv.org, number 2212.03454, Dec, revised Dec 2022.
• Emmanuel Alanis & Sudheer Chava & Agam Shah, 2022, "Benchmarking Machine Learning Models to Predict Corporate Bankruptcy," Papers, arXiv.org, number 2212.12051, Dec.
• Piero Mazzarisi & Adele Ravagnani & Paola Deriu & Fabrizio Lillo & Francesca Medda & Antonio Russo, 2022, "A machine learning approach to support decision in insider trading detection," Papers, arXiv.org, number 2212.05912, Dec.
• Kazuhiko Shinoda & Takahiro Hoshino, 2022, "Orthogonal Series Estimation for the Ratio of Conditional Expectation Functions," Papers, arXiv.org, number 2212.13145, Dec.
• Laureti, Lucio & Costantiello, Alberto & Leogrande, Angelo, 2022, "The Role of Renewable Energy Consumption in Promoting Sustainability and Circular Economy. A Data-Driven Analysis," MPRA Paper, University Library of Munich, Germany, number 115763, Dec, revised 25 Dec 2022.
• Pouriya Khalilian & Sara Azizi & Mohammad Hossein Amiri & Javad T. Firouzjaee, 2022, "Reduced-order autoregressive dynamics of a complex financial system: a PCA-based approach," Papers, arXiv.org, number 2212.12044, Dec, revised Dec 2025.
• Jiashu Lou & Leyi Cui & Ye Li, 2022, "Bi-LSTM Price Prediction based on Attention Mechanism," Papers, arXiv.org, number 2212.03443, Dec, revised Jun 2023.
• Jan Ditzen & Francesco Ravazzolo, 2022, "Dominant Drivers of National Inflation," Papers, arXiv.org, number 2212.05841, Dec.
• Pierre Bras & Gilles Pag`es, 2022, "Langevin algorithms for Markovian Neural Networks and Deep Stochastic control," Papers, arXiv.org, number 2212.12018, Dec, revised Jan 2023.
• Bauer, Kevin & Nofer, Michael & Abdel-Karim, Benjamin M. & Hinz, Oliver, 2022, "The effects of discontinuing machine learning decision support," SAFE Working Paper Series, Leibniz Institute for Financial Research SAFE, number 370, DOI: 10.2139/ssrn.4299664.
• Langenbucher, Katja, 2022, "Consumer credit in the age of AI: Beyond anti-discrimination law," SAFE Working Paper Series, Leibniz Institute for Financial Research SAFE, number 369, DOI: 10.2139/ssrn.4298261.
• Alicia von Schenk & Victor Klockmann & Jean-Franc{c}ois Bonnefon & Iyad Rahwan & Nils Kobis, 2022, "Lie detection algorithms attract few users but vastly increase accusation rates," Papers, arXiv.org, number 2212.04277, Dec.
• Chunmeng Yang & Siqi Bu & Yi Fan & Wayne Xinwei Wan & Ruoheng Wang & Aoife Foley, 2022, "Data-Driven Prediction and Evaluation on Future Impact of Energy Transition Policies in Smart Regions," Papers, arXiv.org, number 2212.07019, Dec.
• Mois'es Ram'irez & Raziel Ru'iz & Nathan Klarer, 2022, "The Effects of Just-in-time Delivery on Social Engagement: A Cluster Analysis," Papers, arXiv.org, number 2212.12285, Dec.
• Patrick Rehill & Nicholas Biddle, 2022, "Policy learning for many outcomes of interest: Combining optimal policy trees with multi-objective Bayesian optimisation," Papers, arXiv.org, number 2212.06312, Dec, revised Oct 2023.
• Pletcher, Scott Nicholas, 2022, "Visual Privacy: Current and Emerging Regulations Around Unconsented Video Analytics in Retail," OSF Preprints, Center for Open Science, number tfw96, Dec, DOI: 10.31219/osf.io/tfw96.
• Claudio Vitari & Elisabetta Raguseo & Federico Pigni, 2022, "Management of Big data: An empirical investigation of the Too-Much-of-a-Good-Thing effect in medium and large firms," Post-Print, HAL, number hal-03876785, DOI: 10.3917/sim.223.0087.
• Marco Di Francesco & Kevin Kamm, 2022, "CDO calibration via Magnus Expansion and Deep Learning," Papers, arXiv.org, number 2212.12318, Dec.
• Torre Leonardo & González Eva & Casillas Ramón & Alvarado Jorge, 2022, "Sentiment Indexes and Economic Activity Indicators in Mexico 2016-2021," Working Papers, Banco de México, number 2022-18, Dec.
• Alireza Jafari & Saman Haratizadeh, 2022, "NETpred: Network-based modeling and prediction of multiple connected market indices," Papers, arXiv.org, number 2212.05916, Dec.
• Phoebe Koundouri & Kostas Dellis, 2022, "Human Security: Concepts and Measurement," DEOS Working Papers, Athens University of Economics and Business, number 2234, Dec.
• Yihang Fu & Zesen Zhuang & Luyao Zhang, 2022, "AI Ethics on Blockchain: Topic Analysis on Twitter Data for Blockchain Security," Papers, arXiv.org, number 2212.06951, Dec, revised Jul 2023.
• Weilin Fu & Zhuoran Li & Yupeng Zhang & Xingyou Zhou, 2022, "Time Series Analysis in American Stock Market Recovering in Post COVID-19 Pandemic Period," Papers, arXiv.org, number 2212.05369, Dec.
• Pilar Rey del Castillo, 2022, "Building Daily Economic Sentiment Indicators," CESifo Working Paper Series, CESifo, number 10087.
• Alessandro Gnoatto & Silvia Lavagnini & Athena Picarelli, 2022, "Deep Quadratic Hedging," Papers, arXiv.org, number 2212.12725, Dec, revised Nov 2024.
• Polina Lemenkova & Olivier Debeir, 2022, "R Libraries for Remote Sensing Data Classification by k-means Clustering and NDVI Computation in Congo River Basin, DRC," ULB Institutional Repository, ULB -- Universite Libre de Bruxelles, number 2013/352357, Dec.
• Matthias Feiler, 2022, "A probabilistic autoencoder for causal discovery," Papers, arXiv.org, number 2212.04235, Dec.
• Nam, Rachel J., 2022, "Open banking and customer data sharing: Implications for FinTech borrowers," SAFE Working Paper Series, Leibniz Institute for Financial Research SAFE, number 364, DOI: 10.2139/ssrn.4278803.
• Artís, Annalí Casanueva & Avetian, Vladimir & Sardoschau, Sulin & Saxena, Kavya, 2022, "Social Media and the Broadening of Social Movements: Evidence from Black Lives Matter," IZA Discussion Papers, IZA Network @ LISER, number 15812, Dec.

Report NEP-BIG-2023-01-16

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: