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The novel application of pattern mixture modelling for refining survey estimates using record-linked data.
Statistical methodological papers: The novel application of pattern mixture modelling for refining survey estimates using record-linked data.
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These classes can be used in a simple class-frequency (cF) mixture model for modelling site-specific distributions for phylogenetic inference that we have implemented in a program called QmmRAxML.
Using Mixture Models for Collaborative Filtering.
Mixture modeling for dynamic PET data.
Sparsity Constrained Mixture Modeling for the Estimation of Kinetic Parameters in Dynamic PET.
A Dirichlet process mixture model for clustering longitudinal gene expression data.
F. Chierichetti, A. Dasgupta, R. Kumar, S. Lattanzi (2015) "On Learning Mixture Models for Permutations", ITCS.
Sparse Constrained Mixture Modeling for the Estimation of Kinetic Parameters in Dynamic PET.
A mixture model for the departure times is introduced.
The model is obtained by multiplying Scheffé mixture models for each mixture system.
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