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Article Dans Une Revue Lecture Notes in Computer Science Année : 2018

Testing the number and the nature of the components in a mixture distribution

Résumé

In this paper, we propose a test procedure for the number of components of mixture distributions in a parametric setting. The test statistic is based on divergence estimators derived through the dual form of the divergence in parametric models. We provide a standard limit distribution for the test statistic under the null hypothesis that holds for mixtures of any number of components k ≥ 2.
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Dates et versions

hal-03897534 , version 1 (13-12-2022)

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Michel Broniatowski, Emilie Miranda, Wolfgang Stummer. Testing the number and the nature of the components in a mixture distribution. Lecture Notes in Computer Science, 2018, Geometric Science of Information 4th International Conference, GSI 2019, Toulouse, France, August 27–29, 2019, Proceedings, 11712, pp.309-318. ⟨10.1007/978-3-030-26980-7_32⟩. ⟨hal-03897534⟩
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