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Report NEP-ORE-2018-06-11
This is the archive for NEP-ORE, a report on new working papers in the area of Operations Research. Walter Frisch issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-ORE
The following items were announced in this report:
- Joshua C.C. Chan & Eric Eisenstat & Chenghan Hou & Gary Koop, 2018, "Composite Likelihood Methods for Large Bayesian VARs with Stochastic Volatility," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2018-26, May.
- Item repec:spo:wpmain:info:hdl:2441/5fafm6me7k8omq5jbo61urqq27 is not listed on IDEAS anymore
- Joshua C.C. Chan & Liana Jacobi & Dan Zhu, 2018, "How Sensitive Are VAR Forecasts to Prior Hyperparameters? An Automated Sensitivity Analysis," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2018-25, May.
- Fingleton, Bernard, 2018, "Exploring Brexit with dynamic spatial panel models : some possible outcomes for employment across the EU regions," MPRA Paper, University Library of Munich, Germany, number 86553, May.
- Russell Davidson & Andrea Monticini, 2018, "Improvements in Bootstrap Inference," DISCE - Working Papers del Dipartimento di Economia e Finanza, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE), number def070, Apr.
- Cassim, Lucius, 2018, "A semi-parametric GARCH (1, 1) estimator under serially dependent innovations," MPRA Paper, University Library of Munich, Germany, number 86572, May.
- PERRON, Pierre & YAMAMOTO, Yohei & 山本, 庸平, 2018, "Testing for Changes in Forecasting Performance," Discussion Papers, Graduate School of Economics, Hitotsubashi University, number 2018-03, May.