Report NEP-BIG-2023-01-02

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:

• Christian B. Hansen & Mark E. Schaffer & Achim Ahrens, 2022, "pystacked: Stacking generalization and machine learning in Stata," Swiss Stata Conference 2022, Stata Users Group, number 01, Nov.
• Gil, Olga, 2022, "Accountability in Artificial Intelligence," SocArXiv, Center for Open Science, number wckuf, Sep, DOI: 10.31219/osf.io/wckuf.
• Item repec:rnp:wpaper:s21042 is not listed on IDEAS anymore

• Le, Anh Hoang & , Le Nguyen Hoai Thi & Huong, Luong Tran Hoang & , La Phu Hao & Nga, Nguyen Thi Thuy, 2022, "Ứng Dụng Phương Pháp Sem-Neural Network Để Xây Dựng Mô Hình Dự Báo Trải Nghiệm Khách Hàng Về Dịch Vụ Ngân Hàng Số Tại Các Ngân Hàng Thương Mại Việt Nam," OSF Preprints, Center for Open Science, number vrmp9, Nov, DOI: 10.31219/osf.io/vrmp9.
• Flavio Calvino & Lea Samek & Mariagrazia Squicciarini & Cody Morris, 2022, "Identifying and characterising AI adopters: A novel approach based on big data," OECD Science, Technology and Industry Working Papers, OECD Publishing, number 2022/06, Dec, DOI: 10.1787/154981d7-en.
• Yao Lei Xu & Kriton Konstantinidis & Danilo P. Mandic, 2022, "Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Multi-Way Financial Modelling," Papers, arXiv.org, number 2211.05581, Oct.
• John List & Ian Muir & Gregory Sun, 2022, "Using Machine Learning for Efficient Flexible Regression Adjustment in Economic Experiments," Natural Field Experiments, The Field Experiments Website, number 00763.
• Damir Filipovi'c & Puneet Pasricha, 2022, "Empirical Asset Pricing via Ensemble Gaussian Process Regression," Papers, arXiv.org, number 2212.01048, Dec, revised Jan 2025.
• Sébastien Gadat & Ioana Gavra, 2022, "Asymptotic study of stochastic adaptive algorithm in non-convex landscape," Post-Print, HAL, number hal-03857182, Aug.
• Koppe, Timo, 2022, "Digital Technologies for Digital Innovation: Unlocking Data and Knowledge to Drive Organizational Value Creation," Publications of Darmstadt Technical University, Institute for Business Studies (BWL), Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL), number 135493.
• Ariel Dora Stern, 2022, "The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives," NBER Working Papers, National Bureau of Economic Research, Inc, number 30639, Dec.
• Lorenzo Lucchese & Mikko Pakkanen & Almut Veraart, 2022, "The Short-Term Predictability of Returns in Order Book Markets: a Deep Learning Perspective," Papers, arXiv.org, number 2211.13777, Nov, revised Oct 2023.
• Olayiwola Oladiran & Muhammad Abbas, 2022, "Analysing (A)Symmetries In Student Accommodation Pricing: Evidence From European Student Accommodation Market," AfRES, African Real Estate Society (AfRES), number 2022-017, Jan.
• 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," Grenoble Ecole de Management (Post-Print), HAL, number hal-03876785, DOI: 10.3917/sim.223.0087.
• Sandro Heiniger & Winfried Koeniger & Michael Lechner, 2022, "The Heterogeneous Response of Real Estate Asset Prices to a Global Shock," CESifo Working Paper Series, CESifo, number 10083.
• Wong, Janis & Morgan, Deborah & Straub, Vincent John & Hashem, Youmna & Bright, Jonathan, 2022, "Key challenges for the participatory governance of AI in public administration," SocArXiv, Center for Open Science, number pdcrm, Nov, DOI: 10.31219/osf.io/pdcrm.
• Dyrland, Kjetil & Lundervold, Alexander Selvikvåg & Porta Mana, PierGianLuca, 2022, "A probability transducer and decision-theoretic augmentation for machine-learning classifiers," OSF Preprints, Center for Open Science, number vct9y, Jun, DOI: 10.31219/osf.io/vct9y.
• Item repec:rnp:wpaper:s21046 is not listed on IDEAS anymore

• Edward Kerby & Alexander Moradi & Hanjo Odendaal, 2022, "African time travellers: what can we learn from 500 years of written accounts?," Oxford Economic and Social History Working Papers, University of Oxford, Department of Economics, number _201, Oct.
• Taiga Saito & Shivam Gupta, 2022, "Big Data Applications with Theoretical Models and Social Media in Financial Management," CIRJE F-Series, CIRJE, Faculty of Economics, University of Tokyo, number CIRJE-F-1205, Dec.
• David M. Arseneau & Alejandro Drexler & Mitsuhiro Osada, 2022, "Central Bank Communication about Climate Change," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2022-031, May, DOI: 10.17016/FEDS.2022.031.
• Rowe, Francisco & Calafiore, Alessia & Arribas-Bel, Dani & Samardzhiev, Krasen & Fleischmann, Martin, 2022, "Urban Exodus? Understanding Human Mobility in Britain During the COVID-19 Pandemic Using Facebook Data," OSF Preprints, Center for Open Science, number 6hjv3, Jun, DOI: 10.31219/osf.io/6hjv3.

Report NEP-BIG-2023-01-02

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: