Supervised ML for Solving the GI / GI /1 Queue
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Abstract
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DOI: 10.1287/ijoc.2022.0263
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References listed on IDEAS
- Marc Hallin & Gilles Mordant & Johan Segers, 2020.
"Multivariate Goodness-of-Fit Tests Based on Wasserstein Distance,"
Working Papers ECARES
2020-06, ULB -- Universite Libre de Bruxelles.
- Hallin, Marc & Mordant, Gilles & Segers, Johan, 2020. "Multivariate Goodness-of-Fit Tests Based on Wasserstein Distance," LIDAM Discussion Papers ISBA 2020006, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Hallin, Marc & Mordant, Gilles & Segers, Johan, 2021. "Multivariate Goodness-of-Fit Tests Based on Wasserstein Distance," LIDAM Reprints ISBA 2021005, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
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Keywords
GI / GI /1 queue; neural networks; sampling; phase type;All these keywords.
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