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Volumn , Issue , 2007, Pages 488-496

Analysis and generation of random vectors with copulas

Author keywords

[No Author keywords available]

Indexed keywords

RANDOM PROCESSES; TIME SERIES ANALYSIS;

EID: 49749117468     PISSN: 08917736     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WSC.2007.4419639     Document Type: Conference Paper
Times cited : (33)

References (13)
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    • (2003) ACM Transactions on Modeling and Computer Simulation , vol.13 , pp. 211-237
    • Biller, B.1    Nelson, B.2
  • 3
    • 0030215006 scopus 로고    scopus 로고
    • Autoregressive to anything: Time-series input processes for simulation
    • Cario, M., and B. Nelson. 1996. Autoregressive to anything: Time-series input processes for simulation. Operations Research Letters 19:51-58.
    • (1996) Operations Research Letters , vol.19 , pp. 51-58
    • Cario, M.1    Nelson, B.2
  • 4
    • 0003563595 scopus 로고    scopus 로고
    • Modeling and generating random vectors with arbitrary marginal distributions and correlation matrix
    • Tech. rep, Northwestern University, Department of Industrial Engineering and Management Sciences, Evanston, Ill
    • Cario, M., and B. Nelson. 1997. Modeling and generating random vectors with arbitrary marginal distributions and correlation matrix. Tech. rep., Northwestern University, Department of Industrial Engineering and Management Sciences, Evanston, Ill.
    • (1997)
    • Cario, M.1    Nelson, B.2
  • 5
    • 0036928443 scopus 로고    scopus 로고
    • Properties of the NORTA method in higher dimensions
    • ed. E. Yücesan, C. Chen, J. Snowdon, and J. Charnes, Piscataway, N. J, IEEE
    • Ghosh, S., and S. Henderson. 2002. Properties of the NORTA method in higher dimensions. In Winter Simulation Conference Proceedings, ed. E. Yücesan, C. Chen, J. Snowdon, and J. Charnes, 263-269. Piscataway, N. J.: IEEE.
    • (2002) Winter Simulation Conference Proceedings , pp. 263-269
    • Ghosh, S.1    Henderson, S.2
  • 6
    • 33745844860 scopus 로고    scopus 로고
    • Traffic modeling of IP networks using the batch Markovian arrival process
    • Proceedings of the 12th Int. Conf. on Modelling Tools and Techniques for Computer and Communication System Performance Evaluation, London: Springer
    • Klemm, A., C. Lindemann, and M. Lohmann. 2002. Traffic modeling of IP networks using the batch Markovian arrival process. In Proceedings of the 12th Int. Conf. on Modelling Tools and Techniques for Computer and Communication System Performance Evaluation, 92-110. London: Springer. LNCS 2324.
    • (2002) LNCS , vol.2324 , pp. 92-110
    • Klemm, A.1    Lindemann, C.2    Lohmann, M.3
  • 8
    • 0004368649 scopus 로고    scopus 로고
    • The empirical TES methodology: Modeling empirical time series
    • Melamed, B. 1997. The empirical TES methodology: Modeling empirical time series. J. of Applied Mathematics and Stochastic Analysis 10 (4): 333-353.
    • (1997) J. of Applied Mathematics and Stochastic Analysis , vol.10 , Issue.4 , pp. 333-353
    • Melamed, B.1
  • 9
    • 84898462550 scopus 로고    scopus 로고
    • Nassaj, F., and J. Ch. Strelen. 2005. Dependence input modeling with the help of non-Gaussian AR models and genetic algorithms. In Modelling and Simulation 2005, Proceedings of the European Simulation and Modelling Conference, Porto, 2005, ed. J. Teixera and A. E. Carvalho-Brito, 146-153. Ghent: Eurosis-ETI.
    • Nassaj, F., and J. Ch. Strelen. 2005. Dependence input modeling with the help of non-Gaussian AR models and genetic algorithms. In Modelling and Simulation 2005, Proceedings of the European Simulation and Modelling Conference, Porto, 2005, ed. J. Teixera and A. E. Carvalho-Brito, 146-153. Ghent: Eurosis-ETI.
  • 10
    • 84898636275 scopus 로고    scopus 로고
    • Nassaj, E., and J. Ch. Strelen. 2006. Generating simulation input with approximate copulas. In Modelling and Simulation 2006, Proceedings of the European Simulation and Modelling Conference, Toulouse, 2006, ed. A. Nketsa, M. Paludetto, and C. Bertelle, 88-93. Ghent: Eurosis-ETI.
    • Nassaj, E., and J. Ch. Strelen. 2006. Generating simulation input with approximate copulas. In Modelling and Simulation 2006, Proceedings of the European Simulation and Modelling Conference, Toulouse, 2006, ed. A. Nketsa, M. Paludetto, and C. Bertelle, 88-93. Ghent: Eurosis-ETI.
  • 12
    • 49749090988 scopus 로고    scopus 로고
    • Modeling dependence in finance and insurance: The copula approach
    • Pfeifer, D., and J. Neslehova. 2003. Modeling dependence in finance and insurance: the copula approach. Blätter der DGVFM 26 (2): 177-191. http://www.mathematik.unioldenburg.de/personen/pfeifer/Copulas.pdf.
    • (2003) Blätter der DGVFM , vol.26 , Issue.2 , pp. 177-191
    • Pfeifer, D.1    Neslehova, J.2
  • 13
    • 49749133015 scopus 로고    scopus 로고
    • Strelen, J. C. 2007. Generating random vectors with copulas - MATLAB program pwlCopula_D_with_hashing. (web.cs.uni-bonn.de/IV/strelen/Algorithmen).
    • Strelen, J. C. 2007. Generating random vectors with copulas - MATLAB program pwlCopula_D_with_hashing. (web.cs.uni-bonn.de/IV/strelen/Algorithmen).


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