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Report NEP-BIG-2018-01-08
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:
- JOHNEN, Johannes, 2017, "Dynamic competition in deceptive markets," LIDAM Discussion Papers CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 2017036, Dec.
- Victor Chernozhukov & Mert Demirer & Esther Duflo & Iv'an Fern'andez-Val, 2017, "Fisher-Schultz Lecture: Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments, with an Application to Immunization in India," Papers, arXiv.org, number 1712.04802, Dec, revised Oct 2023.
- Okay Gunes, 2017, "Hedonic Recommendations: An Econometric Application on Big Data," Documents de travail du Centre d'Economie de la Sorbonne, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, number 17061, Dec.
- Monica Andini & Emanuele Ciani & Guido de Blasio & Alessio D'Ignazio & Viola Salvestrini, 2017, "Targeting policy-compliers with machine learning: an application to a tax rebate programme in Italy," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1158, Dec.
- Damien Échevin & Qing Li & Marc-André Morin, 2017, "Hospital Readmission is Highly Predictable from Deep Learning," Cahiers de recherche, Chaire de recherche Industrielle Alliance sur les enjeux économiques des changements démographiques, number 1705.
- Xinkun Nie & Stefan Wager, 2017, "Quasi-Oracle Estimation of Heterogeneous Treatment Effects," Papers, arXiv.org, number 1712.04912, Dec, revised Aug 2020.
- Vira Semenova, 2017, "Debiased Machine Learning of Set-Identified Linear Models," Papers, arXiv.org, number 1712.10024, Dec, revised Dec 2022.
- Jerelyn Co & Jason Allan Tan & Ma. Regina Justina Estuar & Kennedy Espina, 2017, "Dengue Spread Modeling in the Absence of Sufficient Epidemiological Parameters: Comparison of SARIMA and SVM Time Series Models," Working papers Conference proceedings The Future of Ethics, Education and Research, October 16-17, 2017, Research Association for Interdisciplinary Studies, number 22.