Probability matrices, non-negative rank, and parameterizations of mixture models
classification
📊 stat.CO
keywords
modelsparameterizationsmatricesmixturenon-negativeprobabilityrankclass
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In this paper we parameterize non-negative matrices of sum one and rank at most two. More precisely, we give a family of parameterizations using the least possible number of parameters. We also show how these parameterizations relate to a class of statistical models, known in Probability and Statistics as mixture models for contingency tables.
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