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Copula analysis of mixture models
2011
Computational statistics (Zeitschrift)
Contemporary computers collect databases that can be too large for classical methods to handle. The present work takes data whose observations are distribution functions (rather than the single numerical point value of classical data) and presents the computational statistical approach of a new methodology to group the distributions into classes. The clustering method links the searched partition to the decomposition of mixture densities, through the notions of a function of distributions and
doi:10.1007/s00180-011-0266-0
fatcat:4jr2zidywzdmrnkm62ynlnwb2u