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Report NEP-CMP-2018-10-01
This is the archive for NEP-CMP, a report on new working papers in the area of Computational Economics. Stanley Miles issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-CMP
The following items were announced in this report:
- Philipp Grohs & Fabian Hornung & Arnulf Jentzen & Philippe von Wurstemberger, 2018, "A proof that artificial neural networks overcome the curse of dimensionality in the numerical approximation of Black-Scholes partial differential equations," Papers, arXiv.org, number 1809.02362, Sep, revised Jan 2023.
- Lei Zhang, 2018, "Artificial Neural Network Based Chaotic Generator Design for The Prediction of Financial Time Series," Proceedings of International Academic Conferences, International Institute of Social and Economic Sciences, number 6409417, Jun.
- Jan Ditzen, 2018, "multishell: Running simulations efficiently using Stata’s shell command," London Stata Conference 2018, Stata Users Group, number 16, Oct.
- Bizimana, Jean-Claude & Richardson, James W., , "Agricultural Technology Assessment for Smallholder Farms in Developing Countries: An Analysis using a Farm Simulation Model (FARMSIM)," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida, Southern Agricultural Economics Association, number 266589, DOI: 10.22004/ag.econ.266589.
- Item repec:spo:wpmain:info:hdl:2441/28ldm6et9r9pbak4qpf3imo9bj is not listed on IDEAS anymore
- Bielecki, Marcin & Stähler, Nikolai, 2018, "Labor tax reductions in Europe: The role of property taxation," Discussion Papers, Deutsche Bundesbank, number 30/2018.
- Prakhar Ganesh & Puneet Rakheja, 2018, "VLSTM: Very Long Short-Term Memory Networks for High-Frequency Trading," Papers, arXiv.org, number 1809.01506, Sep, revised Oct 2020.
- Jeonggyu Huh, 2018, "Measuring Systematic Risk with Neural Network Factor Model," Papers, arXiv.org, number 1809.04925, Sep.
- Anastasis Kratsios & Cody Hyndman, 2018, "NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation," Papers, arXiv.org, number 1809.00082, Aug, revised May 2021.
- Rusiana, Hofner D. & Escalante, Cesar L., , "Assessing the Real Value of H2A Farm Labor Inputs: A Simulation-Optimization Approach," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois, Agricultural and Applied Economics Association, number 258237, DOI: 10.22004/ag.econ.258237.
- Saikai, Yuji & Mitchell, Paul D., , "Agent-based Model of Bt Corn Adoption and Insect Resistance Management," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois, Agricultural and Applied Economics Association, number 258217, DOI: 10.22004/ag.econ.258217.
- Ifft, Jennifer E. & Kuhns, Ryan & Patrick, Kevin T., , "Predicting Credit Demand with ARMS: A Machine Learning Approach," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois, Agricultural and Applied Economics Association, number 258134, DOI: 10.22004/ag.econ.258134.
- Crane-Droesch, Andrew, , "Semiparametric Panel Data Using Neural Networks," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois, Agricultural and Applied Economics Association, number 258128, DOI: 10.22004/ag.econ.258128.
- J. Meekes & W.H.J. Hassink, 2017, "Flowbca: A flow-based cluster algorithm in Stata," Working Papers, Utrecht School of Economics, number 17-09, Jul.
- Dave Cliff, 2018, "BSE: A Minimal Simulation of a Limit-Order-Book Stock Exchange," Papers, arXiv.org, number 1809.06027, Sep.
- Jorge Faleiro, 2018, "A Language for Large-Scale Collaboration in Economics: A Streamlined Computational Representation of Financial Models," Papers, arXiv.org, number 1809.06471, Sep.