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 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:

• Budzinski, Oliver & Kuchinke, Björn, 2018. "Modern industrial organization theory of media markets and competition policy implications," Ilmenau Economics Discussion Papers 115, Ilmenau University of Technology, Institute of Economics.
• Sandile Hlatshwayo & Anne Oeking & Manuk Ghazanchyan & David Corvino & Ananya Shukla & Lamin Y Leigh, 2018. "The Measurement and Macro-Relevance of Corruption: A Big Data Approach," IMF Working Papers 18/195, International Monetary Fund.
• 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 181544, Verein für Socialpolitik / German Economic Association.
• Muhammad Nadim Hanif & Khurrum S. Mughal & Javed Iqbal, 2018. "A Thick ANN Model for Forecasting Inflation," SBP Working Paper Series 99, State Bank of Pakistan, Research Department.
• Sofia Krasovskaya & Georgiy Zhulikov & Joseph MacInnes, 2018. "Deep Learning Neural Networks As A Model Of Saccadic Generation," HSE Working papers WP BRP 93/PSY/2018, National Research University Higher School of Economics.
• Senia, Mark C. & Dharmasena, Senarath & Todd, Jessica E., 2018. "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 266536, Southern Agricultural Economics Association.
• Jeechul Woo & Chenru Liu & Jaehyuk Choi, 2018. "Leave-one-out least squares Monte Carlo algorithm for pricing Bermudan options," Papers 1810.02071, arXiv.org, revised May 2024.
• Adriano Soares Koshiyama & Nick Firoozye & Philip Treleaven, 2018. "A Machine Learning-based Recommendation System for Swaptions Strategies," Papers 1810.02125, arXiv.org.
• 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 1308, HEC Paris.