References
[1] Arnold, B.C., E. Castillo, and J.M. Sarabia (1999). Conditional Specification of Statistical Models. Springer-Verlag, New York.Search in Google Scholar
[2] Barlow, R.E. and F. Proschan (1981). Statistical Theory of Reliability and Life Testing. To Begin With, Silver Spring MD.Search in Google Scholar
[3] Bedford, T. and R.M. Cooke (2001). Probability density decomposition for conditionally dependent random variables modeled by vines. Ann. Math. Artif. Intell. 32, 245-268.10.1023/A:1016725902970Search in Google Scholar
[4] Bedford, T. and R.M. Cooke (2002). Vines: A new graphical model for dependent random variables. Ann. Statist. 30(4), 1031-1068.10.1214/aos/1031689016Search in Google Scholar
[5] Cuadras, C.M., J. Fortiana, and J.A. Rodríguez-Lallena, editors. (2002). Distributions with Given Marginals and Statistical Modelling. Kluwer Academic Publishers, Dordrecht.10.1007/978-94-017-0061-0Search in Google Scholar
[6] Dall’Aglio, G. (1972). Fréchet classes and compatibility of distribution functions. In Symposia Mathematica, Vol. IX, pp. 131-150. Academic Press, London.Search in Google Scholar
[7] Durante, F., G. Puccetti, M. Scherer, and S. Vanduffel (2017). The vine philosopher: An interview with Roger Cooke. Depend. Model. 5, 256-267.10.1515/demo-2017-0015Search in Google Scholar
[8] Fréchet, M. (1951). Sur les tableaux de corrélation dont les marges sont données. Ann. Univ. Lyon I, Sect. A. 14, 53-77.Search in Google Scholar
[9] Genest, C. (2004). DeMoSTAFI conference. Liaison 18 (3), 13-14.Search in Google Scholar
[10] Hutchinson, T.P. and C.D. Lai (1990). Continuous Bivariate Distributions, Emphasising Applications. Rumsby, Sydney.Search in Google Scholar
[11] Joe, H. (1985). An ordering of dependence for contingency tables. Linear Algebra Appl. 70, 89-103.10.1016/0024-3795(85)90045-XSearch in Google Scholar
[12] Joe, H. (1994). Multivariate extreme-value distributions with applications to environmental data. Canad. J. Statist. 22(1), 47-64.10.2307/3315822Search in Google Scholar
[13] Joe, H. (1996). Families of m-variate distributions with given margins and m(m − 1)/2 bivariate dependence parameters. In Rüschendorf, L., B. Schweizer and M.D. Taylor (Eds.), Distributions with Fixed Marginals and Related Topics, pp. 120-141, Institute of Mathematical Statistics, Hayward CA.10.1214/lnms/1215452614Search in Google Scholar
[14] Joe, H. (1997). Multivariate Models and Dependence Concepts. Chapman & Hall, London.Search in Google Scholar
[15] Joe, H. (2014). Dependence Modeling with Copulas. Chapman & Hall/CRC, Boca Raton FL.10.1201/b17116Search in Google Scholar
[16] Joe, H. and A.Maydeu-Olivares (2010). A general family of limited information goodness-of-_t statistics formultinomial data. Psychometrika 75(3), 393-419.10.1007/s11336-010-9165-5Search in Google Scholar
[17] Joe, H., R.L. Smith, and I. Weissman (1992). Bivariate threshold methods for extremes. J. R. Stat. Soc. Ser. B 54(1), 171-183.10.1111/j.2517-6161.1992.tb01871.xSearch in Google Scholar
[18] Johnson, N.L. and S. Kotz (1972). Continuous Multivariate Distributions. Wiley, New York.Search in Google Scholar
[19] Mardia, K.V. (1970). Families of Bivariate Distributions. Griffin, London.Search in Google Scholar
[20] Marshall, A.W. and I. Olkin (1979). Inequalities: Theory of Majorization and Its Applications. Academic Press, New York.Search in Google Scholar
[21] Maydeu-Olivares, A. and H. Joe (2005). Limited- and full-information estimation and goodness-of-fit testing in 2n contingency tables: A unified framework. J. Amer. Statist. Assoc. 100(471), 1009-1020.10.1198/016214504000002069Search in Google Scholar
[22] Maydeu-Olivares, A. and H. Joe (2006). Limited information goodness-of-fit testing in multidimensional contingency tables. Psychometrika 71, 713-732.10.1007/s11336-005-1295-9Search in Google Scholar
[23] McNeil, A.J., R. Frey, and P. Embrechts (2015). Quantitative Risk Management: Concepts, Techniques and Tools. RevisedEdition. Princeton University Press.Search in Google Scholar
[24] Müller, D.T. (2017). Selection of Sparse Vine Copulas in Ultra High Dimensions. PhD thesis, Technische UniversitätMünchen. Available at https://mediatum.ub.tum.de/1382835.Search in Google Scholar
[25] Szudek, J., H. Joe, and J.M. Friedman (2002). Analysis of intra-familial phenotypic variation in neurofibromatosis 1 (Nf1). Genetic Epidemiol. 23(2), 150-164.10.1002/gepi.1129Search in Google Scholar PubMed
[26] Xu, J.J. (1996). StatisticalModelling and Inference forMultivariate and Longitudinal Discrete Response Data. PhD thesis, University of British Columbia. Available at https://open.library.ubc.ca/cIRcle/collections/ubctheses/831/items/1.0087914.Search in Google Scholar
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