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- W4295453670 abstract "Heavy-tailed distributions are widely used in robust mixture modelling due to possessing thick tails. As a computationally tractable subclass of the stable distributions, sub-Gaussian $alpha$-stable distribution received much interest in the literature. Here, we introduce a type of expectation maximization algorithm that estimates parameters of a mixture of sub-Gaussian stable distributions. A comparative study, in the presence of some well-known mixture models, is performed to show the robustness and performance of the mixture of sub-Gaussian $alpha$-stable distributions for modelling, simulated, synthetic, and real data." @default.
- W4295453670 created "2022-09-14" @default.
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- W4295453670 date "2017-01-24" @default.
- W4295453670 modified "2023-09-27" @default.
- W4295453670 title "Robust mixture modelling using sub-Gaussian stable distribution" @default.
- W4295453670 doi "https://doi.org/10.48550/arxiv.1701.06749" @default.
- W4295453670 hasPublicationYear "2017" @default.
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