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Report NEP-BIG-2019-07-29
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:
- Alexis Bogroff & Dominique Guégan, 2019, "Artificial Intelligence, Data, Ethics. An Holistic Approach for Risks and Regulation," Working Papers, Department of Economics, University of Venice "Ca' Foscari", number 2019: 19.
- Alex Burnap & John R. Hauser & Artem Timoshenko, 2019, "Product Aesthetic Design: A Machine Learning Augmentation," Papers, arXiv.org, number 1907.07786, Jul, revised Nov 2022.
- Item repec:ipt:decwpa:2018-10 is not listed on IDEAS anymore
- Arora, Gaurav & Rathore, Tushita & Gupta, Gargi & Anand, Saket, , "Socioeconomic and Biophysical Drivers of Cropland Use Intensification in India: Analysis using satellite data and administrative surveys," 2019 Annual Meeting, July 21-23, Atlanta, Georgia, Agricultural and Applied Economics Association, number 291104, DOI: 10.22004/ag.econ.291104.
- Felipe Carozzi & Sefi Roth, 2019, "Dirty density: air quality and the density of American cities," CEP Discussion Papers, Centre for Economic Performance, LSE, number dp1635, Jul.
- Brummelhuis, Raymond & Luo, Zhongmin, 2019, "Bank Net Interest Margin Forecasting and Capital Adequacy Stress Testing by Machine Learning Techniques," MPRA Paper, University Library of Munich, Germany, number 94779, Mar.
- Bucci, Andrea, 2019, "Cholesky-ANN models for predicting multivariate realized volatility," MPRA Paper, University Library of Munich, Germany, number 95137, Jul.
- Melia, Elvis, 2019, "The impact of information and communication technologies on jobs in Africa: a literature review," IDOS Discussion Papers, German Institute of Development and Sustainability (IDOS), number 3/2019, DOI: 10.23661/dp3.2019.
- David Easley & Eleonora Patacchini & Christopher Rojas, 2019, "Multidimensional Diffusion Processes in Dynamic Online Networks," EIEF Working Papers Series, Einaudi Institute for Economics and Finance (EIEF), number 1912, revised Jul 2019.
- Bernard Lapeyre & J'er^ome Lelong, 2019, "Neural network regression for Bermudan option pricing," Papers, arXiv.org, number 1907.06474, Jul, revised Dec 2020.
- Souradeep Chakraborty, 2019, "Capturing Financial markets to apply Deep Reinforcement Learning," Papers, arXiv.org, number 1907.04373, Jul, revised Dec 2019.
- J. M. Calabuig & H. Falciani & E. A. S'anchez-P'erez, 2019, "Dreaming machine learning: Lipschitz extensions for reinforcement learning on financial markets," Papers, arXiv.org, number 1907.05697, Jul, revised Mar 2020.