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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. 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:
- David T. Frazier & Tatsushi Oka & Dan Zhu, 2017, "Indirect Inference with a Non-Smooth Criterion Function," Papers, arXiv.org, number 1708.02365, Aug, revised Jul 2019.
- Mikhail Goykhman & Ali Teimouri, 2017, "Machine learning in sentiment reconstruction of the simulated stock market," Papers, arXiv.org, number 1708.01897, Aug.
- Juan Francisco Monge, 2017, "Cardinality constrained portfolio selection via factor models," Papers, arXiv.org, number 1708.02424, Aug.
- Brian Quistorff & George G Vega Yon, 2017, "Uncomplicated Parallel Computing with Stata," 2017 Stata Conference, Stata Users Group, number 3, Aug.
- Dario Sansone, 2017, "Now You See Me: High School Dropout and Machine Learning," 2017 Stata Conference, Stata Users Group, number 5, Aug.
- Sergio Correia, 2017, "Big data in Stata with the ftools package," 2017 Stata Conference, Stata Users Group, number 6, Aug.
- 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, KU Leuven, Faculty of Economics and Business (FEB), Department of Decision Sciences and Information Management, Leuven, number 588552, Jul.
- Item repec:dbl:dblpap:975 is not listed on IDEAS anymore
- Austin Nichols & Linden McBride, 2017, "Propensity Scores and Causal Inference Using Machine Learning Methods," 2017 Stata Conference, Stata Users Group, number 13, Aug.