Report NEP-CMP-2017-08-13

This is the archive for NEP-CMP, a report on new working papers in the area of Computational Economics. Stan Miles issued this report. It is usually issued weekly.

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Other reports in NEP-CMP

The following items were announced in this report:

• David T. Frazier & Tatsushi Oka & Dan Zhu, 2017. "Indirect Inference with a Non-Smooth Criterion Function," Papers 1708.02365, arXiv.org, revised Jul 2019.
• Mikhail Goykhman & Ali Teimouri, 2017. "Machine learning in sentiment reconstruction of the simulated stock market," Papers 1708.01897, arXiv.org.
• Juan Francisco Monge, 2017. "Cardinality constrained portfolio selection via factor models," Papers 1708.02424, arXiv.org.
• Brian Quistorff & George G Vega Yon, 2017. "Uncomplicated Parallel Computing with Stata," 2017 Stata Conference 3, Stata Users Group.
• Dario Sansone, 2017. "Now You See Me: High School Dropout and Machine Learning," 2017 Stata Conference 5, Stata Users Group.
• Sergio Correia, 2017. "Big data in Stata with the ftools package," 2017 Stata Conference 6, Stata Users Group.
• Ben Hermans & Roel Leus, 2017. "Scheduling Markovian PERT networks to maximize the net present value: new results," Working Papers of Department of Decision Sciences and Information Management, Leuven 588552, KU Leuven, Faculty of Economics and Business (FEB), Department of Decision Sciences and Information Management, Leuven.
• Duque, Juan Carlos & Patino, Jorge Eduardo & Betancourt, Alejandro, 2016. "Exploring the Potential of Machine Learning for Automatic Slum Identification from VHE Imagery," Working-Papers 975, CAF Development Bank Of Latinamerica.
• Austin Nichols & Linden McBride, 2017. "Propensity Scores and Causal Inference Using Machine Learning Methods," 2017 Stata Conference 13, Stata Users Group.