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 issued this report. It is usually issued weekly.

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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 01, Stata Users Group.
• Gil, Olga, 2022. "Accountability in Artificial Intelligence," SocArXiv wckuf, Center for Open Science.
• Popov Alexandr & Deryabin Andrey & Gluhov Pavel, 2021. "Data-gravity and Data Science: Educational Approaches and Solutions [Дата-Грамостность И Наука О Данных: Образовательные Подходы И Решения]," Working Papers s21042, Russian Presidential Academy of National Economy and Public Administration.
• 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 vrmp9, Center for Open Science.
• 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 2022/06, OECD Publishing.
• Yao Lei Xu & Kriton Konstantinidis & Danilo P. Mandic, 2022. "Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Multi-Way Financial Modelling," Papers 2211.05581, arXiv.org.
• John List & Ian Muir & Gregory Sun, 2022. "Using Machine Learning for Efficient Flexible Regression Adjustment in Economic Experiments," Natural Field Experiments 00763, The Field Experiments Website.
• Damir Filipovi'c & Puneet Pasricha, 2022. "Empirical Asset Pricing via Ensemble Gaussian Process Regression," Papers 2212.01048, arXiv.org, revised Jan 2025.
• Sébastien Gadat & Ioana Gavra, 2022. "Asymptotic study of stochastic adaptive algorithm in non-convex landscape," Post-Print hal-03857182, HAL.
• 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) 135493, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
• Ariel Dora Stern, 2022. "The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives," NBER Working Papers 30639, National Bureau of Economic Research, Inc.
• Lorenzo Lucchese & Mikko Pakkanen & Almut Veraart, 2022. "The Short-Term Predictability of Returns in Order Book Markets: a Deep Learning Perspective," Papers 2211.13777, arXiv.org, revised Oct 2023.
• Olayiwola Oladiran & Muhammad Abbas, 2022. "Analysing (A)Symmetries In Student Accommodation Pricing: Evidence From European Student Accommodation Market," AfRES 2022-017, African Real Estate Society (AfRES).
• 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-03876785, HAL.
• Sandro Heiniger & Winfried Koeniger & Michael Lechner, 2022. "The Heterogeneous Response of Real Estate Asset Prices to a Global Shock," CESifo Working Paper Series 10083, CESifo.
• Wong, Janis & Morgan, Deborah & Straub, Vincent John & Hashem, Youmna & Bright, Jonathan, 2022. "Key challenges for the participatory governance of AI in public administration," SocArXiv pdcrm, Center for Open Science.
• Dyrland, Kjetil & Lundervold, Alexander Selvikvåg & Porta Mana, PierGianLuca, 2022. "A probability transducer and decision-theoretic augmentation for machine-learning classifiers," OSF Preprints vct9y, Center for Open Science.
• Malevanov Yuriy & Dozhdikov Anton & Ivanov Alexandr, 2021. "Analysis of mechanisms for managing the quality of education in the Russian Federation based on "big data" [Анализ Механизмов Управления Качеством Образования В Российской Федерации На Ос," Working Papers s21046, Russian Presidential Academy of National Economy and Public Administration.
• 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 _201, University of Oxford, Department of Economics.
• Taiga Saito & Shivam Gupta, 2022. "Big Data Applications with Theoretical Models and Social Media in Financial Management," CIRJE F-Series CIRJE-F-1205, CIRJE, Faculty of Economics, University of Tokyo.
• David M. Arseneau & Alejandro Drexler & Mitsuhiro Osada, 2022. "Central Bank Communication about Climate Change," Finance and Economics Discussion Series 2022-031, Board of Governors of the Federal Reserve System (U.S.).
• 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 6hjv3, Center for Open Science.