Report NEP-BIG-2022-10-24

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:

• Kendra Walker & Ben Moscona & Kelsey Jack & Seema Jayachandran & Namrata Kala & Rohini Pande & Jiani Xue & Marshall Burke, 2022. "Detecting Crop Burning in India using Satellite Data," Papers 2209.10148, arXiv.org.
• Dangxing Chen & Weicheng Ye, 2022. "Generalized Groves of Neural Additive Models: Pursuing transparent and accurate machine learning models in finance," Papers 2209.10082, arXiv.org, revised Jul 2024.
• Dangxing Chen & Weicheng Ye, 2022. "Monotonic Neural Additive Models: Pursuing Regulated Machine Learning Models for Credit Scoring," Papers 2209.10070, arXiv.org.
• Milien Dhorne & Claire Nicolas & Christopher Arderne & Juliette Besnard, 2021. "Tracking Advances in Access to Electricity Using Satellite-Based Data and Machine Learning to Complement Surveys," World Bank Publications - Reports 35473, The World Bank Group.
• Dangxing Chen & Weicheng Ye & Jiahui Ye, 2022. "Interpretable Selective Learning in Credit Risk," Papers 2209.10127, arXiv.org.
• Yicong Liu & Kaili Wang & Patrick Loa & Khandker Nurul Habib, 2022. "Modelling the Frequency of Home Deliveries: An Induced Travel Demand Contribution of Aggrandized E-shopping in Toronto during COVID-19 Pandemics," Papers 2209.10664, arXiv.org.
• Thanos Papadopoulos & Uthayasankar Sivarajah & Konstantina Spanaki & Stella Despoudi & Angappa Gunasekaran, 2022. "Editorial: Artificial Intelligence (AI) and Data Sharing in Manufacturing, Production and Operations Management Research," Post-Print hal-03766170, HAL.
• Soohan Kim & Seok-Bae Yun & Hyeong-Ohk Bae & Muhyun Lee & Youngjoon Hong, 2022. "Physics-Informed Convolutional Transformer for Predicting Volatility Surface," Papers 2209.10771, arXiv.org, revised Nov 2023.
• L. Ingber, 2022. "Realistic Neural Networks," Lester Ingber Papers 22rn, Lester Ingber.
• Matteo Rizzato & Julien Wallart & Christophe Geissler & Nicolas Morizet & Noureddine Boumlaik, 2022. "Generative Adversarial Networks Applied to Synthetic Financial Scenarios Generation," Papers 2209.03935, arXiv.org, revised May 2024.
• Oleksandr Talavera & Shuxing Yin & Mao Zhang, 2022. "Vocal Communicating With Voice Emotion: Reciprocal Behavior in Manager-Analyst Interaction," Discussion Papers 22-11, Department of Economics, University of Birmingham.
• Peter Christensen & Paul Francisco & Erica Myers & Hansen Shao & Mateus Souza, 2022. "Energy Efficiency Can Deliver for Climate Policy: Evidence from Machine Learning-Based Targeting," NBER Working Papers 30467, National Bureau of Economic Research, Inc.
• Xiaohua Bao & Hailiang Huang & Larry D Qiu & Xiaozhuo Wang, 2022. "Exchange rate expectations and exports: Firm-level evidence from China," Discussion Papers 2022-07, University of Nottingham, GEP.
• Alena Pavlova, 2022. "Non-Linearity between Price Inflation and Labor Costs: The Case of Central European Countries," Working Papers IES 2022/25, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Oct 2022.
• St'ephane Cr'epey & Lehdili Noureddine & Nisrine Madhar & Maud Thomas, 2022. "Anomaly Detection on Financial Time Series by Principal Component Analysis and Neural Networks," Papers 2209.11686, arXiv.org, revised Oct 2022.
• Gutiérrez, Antonio, 2022. "Movilidad urbana y datos de alta frecuencia [Urban mobility and high frequency data]," MPRA Paper 114854, University Library of Munich, Germany.
• Stéphane Crépey & Lehdili Noureddine & Nisrine Madhar & Maud Thomas, 2022. "Anomaly Detection on Financial Time Series by Principal Component Analysis and Neural Networks," Working Papers hal-03777995, HAL.
• World Bank, 2021. "Harnessing Artificial Intelligence for Development on the Post-COVID-19 Era," World Bank Publications - Reports 35619, The World Bank Group.
• Adebayo Oshingbesan & Eniola Ajiboye & Peruth Kamashazi & Timothy Mbaka, 2022. "Model-Free Reinforcement Learning for Asset Allocation," Papers 2209.10458, arXiv.org.
• Elin Halvorsen & Hans Holter & Serdar Ozkan & Kjetil Storesletten, 2022. "Dissecting Idiosyncratic Earnings Risk," Working Papers 2022-024, Federal Reserve Bank of St. Louis, revised 02 Mar 2023.
• Fariha Kamal & Jessica McCloskey & Wei Ouyang, 2022. "Multinational Firms in the U.S. Economy: Insights from Newly Integrated Microdata," Working Papers 22-39, Center for Economic Studies, U.S. Census Bureau.
• D Barrera & S Crépey & E Gobet & Hoang-Dung Nguyen & B Saadeddine, 2024. "Statistical Learning of Value-at-Risk and Expected Shortfall," Working Papers hal-03775901, HAL.
• Pierre Dubois & Rachel Griffith & Martin O'Connell, 2022. "The Use of Scanner Data for Economics Research," Post-Print hal-03770614, HAL.