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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 (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:
- 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, arXiv.org, number 2209.10148, Sep.
- Dangxing Chen & Weicheng Ye, 2022, "Generalized Groves of Neural Additive Models: Pursuing transparent and accurate machine learning models in finance," Papers, arXiv.org, number 2209.10082, Sep, revised Jul 2024.
- Dangxing Chen & Weicheng Ye, 2022, "Monotonic Neural Additive Models: Pursuing Regulated Machine Learning Models for Credit Scoring," Papers, arXiv.org, number 2209.10070, Sep.
- 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, The World Bank Group, number 35473, Apr.
- Dangxing Chen & Weicheng Ye & Jiahui Ye, 2022, "Interpretable Selective Learning in Credit Risk," Papers, arXiv.org, number 2209.10127, Sep.
- 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, arXiv.org, number 2209.10664, Sep.
- 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, number hal-03766170, DOI: 10.1080/00207543.2021.2010979.
- Soohan Kim & Seok-Bae Yun & Hyeong-Ohk Bae & Muhyun Lee & Youngjoon Hong, 2022, "Physics-Informed Convolutional Transformer for Predicting Volatility Surface," Papers, arXiv.org, number 2209.10771, Sep, revised Nov 2023.
- L. Ingber, 2022, "Realistic Neural Networks," Lester Ingber Papers, Lester Ingber, number 22rn.
- Matteo Rizzato & Julien Wallart & Christophe Geissler & Nicolas Morizet & Noureddine Boumlaik, 2022, "Generative Adversarial Networks Applied to Synthetic Financial Scenarios Generation," Papers, arXiv.org, number 2209.03935, Jul, revised May 2024.
- Oleksandr Talavera & Shuxing Yin & Mao Zhang, 2022, "Beyond Words: Manager Emotional Resilience and Financial Markets," Discussion Papers, Department of Economics, University of Birmingham, number 22-11, Oct.
- 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, National Bureau of Economic Research, Inc, number 30467, Sep.
- Xiaohua Bao & Hailiang Huang & Larry D Qiu & Xiaozhuo Wang, 2022, "Exchange rate expectations and exports: Firm-level evidence from China," Discussion Papers, University of Nottingham, GEP, number 2022-07.
- Alena Pavlova, 2022, "Non-Linearity between Price Inflation and Labor Costs: The Case of Central European Countries," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2022/25, Oct, 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, arXiv.org, number 2209.11686, Sep, revised Oct 2022.
- Gutiérrez, Antonio, 2022, "Movilidad urbana y datos de alta frecuencia
[Urban mobility and high frequency data]," MPRA Paper, University Library of Munich, Germany, number 114854, Oct. - 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, number hal-03777995, Oct.
- World Bank, 2021, "Harnessing Artificial Intelligence for Development on the Post-COVID-19 Era," World Bank Publications - Reports, The World Bank Group, number 35619, May.
- Adebayo Oshingbesan & Eniola Ajiboye & Peruth Kamashazi & Timothy Mbaka, 2022, "Model-Free Reinforcement Learning for Asset Allocation," Papers, arXiv.org, number 2209.10458, Sep.
- Elin Halvorsen & Hans Holter & Serdar Ozkan & Kjetil Storesletten, 2022, "Dissecting Idiosyncratic Earnings Risk," Working Papers, Federal Reserve Bank of St. Louis, number 2022-024, Sep, revised 02 Mar 2023, DOI: 10.20955/wp.2022.024.
- Fariha Kamal & Jessica McCloskey & Wei Ouyang, 2022, "Multinational Firms in the U.S. Economy: Insights from Newly Integrated Microdata," Working Papers, Center for Economic Studies, U.S. Census Bureau, number 22-39, Sep.
- D Barrera & S Crépey & E Gobet & Hoang-Dung Nguyen & B Saadeddine, 2024, "Statistical Learning of Value-at-Risk and Expected Shortfall," Working Papers, HAL, number hal-03775901, Sep.
- Pierre Dubois & Rachel Griffith & Martin O'Connell, 2022, "The Use of Scanner Data for Economics Research," Post-Print, HAL, number hal-03770614, Aug, DOI: 10.1146/annurev-economics-051520-02.