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    2021

  1. DATA-DRIVEN DECISION MAKING IN FIGURE SKATING
    HELEŠIC, Jiří and Jan GÓRECKI. DATA-DRIVEN DECISION MAKING IN FIGURE SKATING. In Jarmila ŠEBESTOVÁ, Roman ŠPERKA, Petr SUCHÁNEK, Šárka ČEMERKOVÁ, Žaneta RYLKOVÁ, Kateřina MATUŠÍNSKÁ, Radka BAUEROVÁ, Jiří MAZUREK and Radim DOLÁK Publisher: Silesian University in Opava, School of Business Administration in Karviná. 3rd International conference on Decision making for Small and Medium-Sized Enterprises DEMSME 2021. Karviná, 2021. p. 220 - 230, 710 pp. ISBN 978-80-7510-456-4.
    More: https://is.slu.cz/publication/51220/en
  2. Outer power transformations of hierarchical Archimedean copulas: Construction, sampling and estimation
    GÓRECKI, Jan, Hofert MARIUS and Okhrin OSTAP. Outer power transformations of hierarchical Archimedean copulas: Construction, sampling and estimation. Computational Statistics & Data Analysis. 2021, vol. 2021, No 155, p. 1-28. ISSN 0167-9473. doi:10.1016/j.csda.2020.107109.
    More: https://is.slu.cz/publication/55464/en

    3. 2020

  3. Hierarchical Archimedean Copulas for MATLAB and Octave: The HACopula Toolbox
    GÓRECKI, Jan, Marius HOFERT and Martin HOLEŇA. Hierarchical Archimedean Copulas for MATLAB and Octave: The HACopula Toolbox. Journal of Statistical Software. 2020, vol. 93, No 10, p. 1-36. ISSN 1548-7660. doi:10.18637/jss.v093.i10.
    More: https://is.slu.cz/publication/42642/en

    4. 2017

  4. Kendall's tau and agglomerative clustering for structure determination of hierarchical Archimedean copulas
    GÓRECKI, Jan, Marius HOFERT and Martin HOLEŇA. Kendall's tau and agglomerative clustering for structure determination of hierarchical Archimedean copulas. Dependence Modeling. 2017, vol. 5, No 1, p. 75-87. ISSN 2300-2298.
    More: https://is.slu.cz/publication/35874/en
  5. On structure, family and parameter estimation of hierarchical Archimedean copulas
    GÓRECKI, Jan, Marius HOFERT and Martin HOLEŇA. On structure, family and parameter estimation of hierarchical Archimedean copulas. Journal of Statistical Computation and Simulation. 2017, vol. 87, No 17, p. 3261-3324. ISSN 0094-9655.
    More: https://is.slu.cz/publication/35897/en
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