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On Generating Multivariate Poisson Data in Management Science Applications
Yahav, Inbal; Shmueli, Galit - 2016
Generating multivariate Poisson random variables is essential in many applications, such as multi echelon supply chain systems, multi-item / multi-period pricing models, accident monitoring systems, etc. Current simulation methods suffer from limitations ranging from computational complexity to...
Persistent link: https://www.econbiz.de/10014046299
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Quantum Computing to Solve Scenario-Based Stochastic Time-Dependent Shortest Path Routing
Dixit, Vinayak; Rey, David; Waller, Travis S.; Levin, … - 2021
Uncertainty is a fundamental property of networks which evolve continually due to varying demand and capacity. The characterization of the stochasticity with scenario-based approaches has emerged as a promising method to systematically incorporate variability. Under this paradigm, each scenario...
Persistent link: https://www.econbiz.de/10013312089
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Waste collection routing : a survey on problems and methods
Hess, Christina; Dragomir, Alina G.; Dörner, Karl Franz; … - In: Central European journal of operations research 32 (2024) 2, pp. 399-434
Persistent link: https://www.econbiz.de/10014538839
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On the design of R-based scalable frameworks for data science applications
Theußl, Stefan Peter - 2020
Persistent link: https://www.econbiz.de/10012194139
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A Novel Ranking Method Based on Uncertain DEA Model
Peykani, Pejman; Rahmani, Donya; Gheidar-Kheljani, Jafar; … - 2023
Proposing a full ranking method to rank all the homogeneous decision-making units (DMUs) is one of the important issues … in data envelopment analysis (DEA) field. It should be noted that one of the main challenges in using traditional ranking … this paper, the novel ranking method for DMUs under uncertain environment is presented. using DEA method, super efficiency …
Persistent link: https://www.econbiz.de/10014262710
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Increasing interdependence of multivariate distributions
Meyer, Margaret A.; Strulovici, Bruno - 2011
Orderings of interdependence among random variables are useful in many economic contexts, for example, in assessing ex post inequality under uncertainty; in comparing multidimensional inequality; in valuing portfolios of assets or insurance policies; and in assessing systemic risk. We explore...
Persistent link: https://www.econbiz.de/10008933416
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Monge-Kantorovich depth, quantiles, ranks and signs
Chernozhukov, Victor; Galichon, Alfred; Hallin, Marc; … - 2015
Persistent link: https://www.econbiz.de/10010483442
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Consistent ranking of multivariate volatility models
Laurent, Sébastien; Rombouts, Jeroen V. K.; Violante, … - 2009
Persistent link: https://www.econbiz.de/10003850918
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A multivariate linear rank test of independence based on a multiparametric copula with cubic sections
Mangold, Benedikt - 2015
This paper generalizes the locally optimal linear rank test based on copula from Shirahata (1974) resp. Guillén and Isabel (1998) and Genest et al. (2006) to p dimensions and introduces a new X2-type test for global independence (Nelsen test). The test is compared to similar nonparametric tests...
Persistent link: https://www.econbiz.de/10011333620
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On distribution and quantile functions, ranks and signs in Rd
Hallin, Marc - 2017
Persistent link: https://www.econbiz.de/10011760373