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Report NEP-BIG-2021-10-11
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:
- Stephanie Assad & Emilio Calvano & Giacomo Calzolari & Robert Clark & Vincenzo Denicolo & Daniel Ershov & Justin Pappas Johnson & Sergio Pastorello & Andrew Rhodes & Lei Xu & Matthijs Wildenbeest, 2021, "Autonomous algorithmic collusion: Economic research and policy implications," Post-Print, HAL, number hal-03360129, Sep, DOI: 10.1093/oxrep/grab011.
- Amine Assouel & Antoine Jacquier & Alexei Kondratyev, 2021, "A Quantum Generative Adversarial Network for distributions," Papers, arXiv.org, number 2110.02742, Oct.
- K. S. Naik, 2021, "Predicting Credit Risk for Unsecured Lending: A Machine Learning Approach," Papers, arXiv.org, number 2110.02206, Oct.
- Victor Chernozhukov & Whitney K. Newey & Victor Quintas-Martinez & Vasilis Syrgkanis, 2021, "RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests," Papers, arXiv.org, number 2110.03031, Oct, revised Jun 2022.
- Lindsay Cattell & Julie Bruch, , "Identifying Students At Risk Using Prior Performance Versus a Machine Learning Algorithm," Mathematica Policy Research Reports, Mathematica Policy Research, number f9af4ce29a0946779776a9891.
- Aurelio Patelli & Andrea Zaccaria & Luciano Pietronero, 2021, "Universal Database for Economic Complexity," Papers, arXiv.org, number 2110.00302, Oct.
- Athanasia Dimitriadou & Anna Agrapetidou & Periklis Gogas & Theophilos Papadimitriou, 2021, "Credit Rating Agencies: Evolution or Extinction?," DUTH Research Papers in Economics, Democritus University of Thrace, Department of Economics, number 9-2021, Oct.
- Ximing Wu, 2021, "Hierarchical Gaussian Process Models for Regression Discontinuity/Kink under Sharp and Fuzzy Designs," Papers, arXiv.org, number 2110.00921, Oct, revised Feb 2022.
- Mike Tsionas & Christopher F. Parmeter & Valentin Zelenyuk, 2021, "Bridging the Divide? Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series, School of Economics, University of Queensland, Australia, number WP082021, Jun.
- Phillip Heiler & Michael C. Knaus, 2021, "Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments," Papers, arXiv.org, number 2110.01427, Oct, revised Aug 2023.
- Alessandro Dalla Benetta & Maciej Sobolewski & Daniel Nepelski, 2021, "AI Watch: 2020 EU AI investments," JRC Research Reports, Joint Research Centre, number JRC126477, Sep.
- Steven Campbell & Yichao Chen & Arvind Shrivats & Sebastian Jaimungal, 2021, "Deep Learning for Principal-Agent Mean Field Games," Papers, arXiv.org, number 2110.01127, Oct.