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Report NEP-BIG-2018-10-22
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:
- Budzinski, Oliver & Kuchinke, Björn, 2018, "Modern industrial organization theory of media markets and competition policy implications," Ilmenau Economics Discussion Papers, Ilmenau University of Technology, Institute of Economics, number 115.
- Item repec:imf:imfwpa:18/195 is not listed on IDEAS anymore
- Schneider, Kerstin & Berens, Johannes & Oster, Simon & Burghoff, Julian, 2018, "Early Detection of Students at Risk - Predicting Student Dropouts Using Administrative Student Data and Machine Learning Methods," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy, Verein für Socialpolitik / German Economic Association, number 181544.
- Muhammad Nadim Hanif & Khurrum S. Mughal & Javed Iqbal, 2018, "A Thick ANN Model for Forecasting Inflation," SBP Working Paper Series, State Bank of Pakistan, Research Department, number 99, Oct.
- Sofia Krasovskaya & Georgiy Zhulikov & Joseph MacInnes, 2018, "Deep Learning Neural Networks As A Model Of Saccadic Generation," HSE Working papers, National Research University Higher School of Economics, number WP BRP 93/PSY/2018.
- Senia, Mark C. & Dharmasena, Senarath & Todd, Jessica E., , "A Complex Model of Consumer Food Acquisitions: Applying Machine Learning and Directed Acyclic Graphs to the National Household Food Acquisition and Purchase Survey (FoodAPS)," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida, Southern Agricultural Economics Association, number 266536, DOI: 10.22004/ag.econ.266536.
- Jeechul Woo & Chenru Liu & Jaehyuk Choi, 2018, "Leave-one-out least squares Monte Carlo algorithm for pricing Bermudan options," Papers, arXiv.org, number 1810.02071, Oct, revised May 2024.
- Adriano Soares Koshiyama & Nick Firoozye & Philip Treleaven, 2018, "A Machine Learning-based Recommendation System for Swaptions Strategies," Papers, arXiv.org, number 1810.02125, Oct.
- You, Sangseok & Kim, Jeong-Hwan & Lee, SangHyun & Kamat, Vineet & Robert, Lionel, 2018, "Enhancing perceived safety in human–robot collaborative construction using immersive virtual environments," HEC Research Papers Series, HEC Paris, number 1308, Sep.