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Report NEP-BIG-2023-01-30
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:
- Jinan Zou & Qingying Zhao & Yang Jiao & Haiyao Cao & Yanxi Liu & Qingsen Yan & Ehsan Abbasnejad & Lingqiao Liu & Javen Qinfeng Shi, 2022, "Stock Market Prediction via Deep Learning Techniques: A Survey," Papers, arXiv.org, number 2212.12717, Dec, revised Feb 2023.
- Aaron Thegeya & Thomas Mitterling & Arturo Martinez Jr. & Joseph Bulan & Ron Lester Durante & Jayzon Mag-atas, 2022, "Application of Machine Learning Algorithms on Satellite Imagery for Road Quality Monitoring: An Alternative Approach to Road Quality Surveys," ADB Economics Working Paper Series, Asian Development Bank, number 675, Dec.
- Wenzlaff, Karsten & Spaeth, Sebastian, 2022, "Smarter than humans? Validating how OpenAI's ChatGPT model explains crowdfunding, alternative finance and community finance," WiSo-HH Working Paper Series, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory, number 75.
- Margarita Leib & Nils Kobis & Rainer Michael Rilke & Marloes Hagens & Bernd Irlenbusch, 2023, "Corrupted by Algorithms? How AI-generated and Human-written Advice Shape (Dis)honesty," Papers, arXiv.org, number 2301.01954, Jan.
- Tim Johnson & Nick Obradovich, 2022, "Measuring an artificial intelligence agent's trust in humans using machine incentives," Papers, arXiv.org, number 2212.13371, Dec.
- Elias Asproudis & Cigdem Gedikli & Oleksandr Talavera & Okan Yilmaz, 2023, "Returns to Solar Panels in the Housing Market: A Meta Learner Approach," Discussion Papers, Department of Economics, University of Birmingham, number 23-01, Jan.
- Isaac Tamblyn & Tengkai Yu & Ian Benlolo, 2023, "fintech-kMC: Agent based simulations of financial platforms for design and testing of machine learning systems," Papers, arXiv.org, number 2301.01807, Jan.
- Jeremi Assael & Thibaut Heurtebize & Laurent Carlier & Franc{c}ois Soup'e, 2022, "Greenhouse gases emissions: estimating corporate non-reported emissions using interpretable machine learning," Papers, arXiv.org, number 2212.10844, Dec.
- Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2023, "Bayesian Modeling of Time-Varying Parameters Using Regression Trees," Working Papers, Federal Reserve Bank of Cleveland, number 23-05, Jan, DOI: 10.26509/frbc-wp-202305.
- Brunori, Paolo & Davillas, Apostolos & Jones, Andrew M. & Scarchilli, Giovanna, 2022, "Model-based recursive partitioning to estimate unfair health inequalities in the United Kingdom Household Longitudinal Study," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 117404, Dec.
- Salomo Hirvonen & Maarit Lassander & Lauri Sääksvuori & Janne Tukiainen, 2023, "Who is mobilized to vote by short text messages? Evidence from a nationwide field experiment with young voters," Discussion Papers, Aboa Centre for Economics, number 157, Jan.
- Huy^en Pham & Xavier Warin, 2022, "Mean-field neural networks-based algorithms for McKean-Vlasov control problems ," Papers, arXiv.org, number 2212.11518, Dec, revised Mar 2024.
- Matteo Burzoni & Alessandro Doldi & Enea Monzio Compagnoni, 2022, "Risk Sharing with Deep Neural Networks," Papers, arXiv.org, number 2212.11752, Dec, revised Jun 2023.
- Matilde Giaccherini & Joanna Kopinska & Gabriele Rovigatti, 2022, "Vax Populi: The Social Costs of Online Vaccine Skepticism," CESifo Working Paper Series, CESifo, number 10184.
- Ayush Patnaik & Ajay Shah & Susan Thomas, 2022, "Foundations for nighttime lights data analysis," Working Papers, xKDR, number 19, Dec.
- Marco Battaglini & Luigi Guiso & Chiara Lacava & Douglas L. Miller & Eleonora Patacchini, 2022, "Refining Public Policies with Machine Learning: The Case of Tax Auditing," NBER Working Papers, National Bureau of Economic Research, Inc, number 30777, Dec.
- Arnault Pachot, 2022, "Deep Learning on time-variant Product Space," Post-Print, HAL, number hal-03883391, Nov.
- Yolande Piris & Anne-Cécile Gay, 2021, "Customer satisfaction and natural language processing," Post-Print, HAL, number hal-03110702, Jan, DOI: 10.1016/j.jbusres.2020.11.065.
- Ida Nervik Hjelseth & Arvid Raknerud & Bjørn H. Vatne, 2022, "A bankruptcy probability model for assessing credit risk on corporate loans with automated variable selection," Working Paper, Norges Bank, number 2022/7, Jun.
- Sonia Akter & Talitha Fauzia & Madhavi Pundit & Marcel Schroder, 2022, "A Gender-Specific Earthquake Recovery Assessment Using Administrative and Satellite Data: The Case of Indonesia’s 2016 Aceh Earthquake," ADB Economics Working Paper Series, Asian Development Bank, number 674, Dec.