Interpoint Distance Test of Homogeneity for Multivariate Mixture Models

DOI10.1111/insr.12332OpenAlexW2949901223WikidataQ127665975 ScholiaQ127665975MaRDI QIDQ6086591

Reza Modarres, Unnamed Author

Publication date: 10 November 2023

Published in: International Statistical Review (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/insr.12332

zbMATH Keywords

mixturequadratic formhomogeneitypower seriesinterpoint distance

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Graphical Comparison of High‐Dimensional Distributions, Nonparametric tests for detection of high dimensional outliers

Cites Work

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• Shape classification based on interpoint distance distributions
• Nonparametric multivariate rank tests and their unbiasedness
• Hypothesis test for normal mixture models: the EM approach
• Two-way Poisson mixture models for simultaneous document classification and word clustering
• Multivariate dispersion orderings
• On a new multivariate two-sample test.
• Identifiability of mixtures of power-series distributions and related characterizations
• Finite mixtures of multivariate Poisson distributions with application
• Finite mixture and Markov switching models.
• Negative multinomial distribution
• A Modified Likelihood Ratio Test for Homogeneity in Finite Mixture Models
• The likelihood ratio test for homogeneity in finite mixture models
• Testing homogeneity in a multivariate mixture model
• A finite mixture distribution for modelling multinomial extra variation
• Shape distributions
• Non-finite Fisher information and homogeneity: an EM approach
• Adaptive Mixtures
• Asymptotic normality of interpoint distances for high-dimensional data with applications to the two-sample problem
• Modeling a minimal spanning tree
• A multivariate Poisson mixture model for marketing applications
• A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data
• Testing the Order of a Finite Mixture
• An Exact Distribution-Free Test Comparing Two Multivariate Distributions based on Adjacency
• A Class of Random Variables with Discrete Distributions
• Some approximations to the multivariate hypergeometric distribution with applications to hypothesis testing.