Academic Journal
Bayesian analysis for mixtures of discrete distributions with a non-parametric component
| العنوان: | Bayesian analysis for mixtures of discrete distributions with a non-parametric component |
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| المؤلفون: | Alhaji, Baba B, Dai, Hongsheng, Hayashi, Yoshiko, Vinciotti, Veronica, Harrison, Andrew, Lausen, Berthold |
| بيانات النشر: | Informa UK Limited |
| سنة النشر: | 2016 |
| المجموعة: | University of Essex Research Repository |
| مصطلحات موضوعية: | QA Mathematics |
| الوصف: | Bayesian finite mixture modelling is a flexible parametric modelling approach for classification and density fitting. Many areas of application require distinguishing a signal from a noise component. In practice, it is often difficult to justify a specific distribution for the signal component; therefore, the signal distribution is usually further modelled via a mixture of distributions. However, modelling the signal as a mixture of distributions is computationally non-trivial due to the difficulties in justifying the exact number of components to be used and due to the label switching problem. This paper proposes the use of a non-parametric distribution to model the signal component. We consider the case of discrete data and show how this new methodology leads to more accurate parameter estimation and smaller false non-discovery rate. Moreover, it does not incur the label switching problem. We show an application of the method to data generated by ChIP-sequencing experiments. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | text |
| اللغة: | English |
| Relation: | https://repository.essex.ac.uk/15038/1/Reviewed_paper.pdf; Alhaji, Baba B and Dai, Hongsheng and Hayashi, Yoshiko and Vinciotti, Veronica and Harrison, Andrew and Lausen, Berthold (2016) Bayesian analysis for mixtures of discrete distributions with a non-parametric component. Journal of Applied Statistics, 43 (8). pp. 1369-1385. DOI https://doi.org/10.1080/02664763.2015.1100594 |
| DOI: | 10.1080/02664763.2015.1100594 |
| الاتاحة: | https://repository.essex.ac.uk/15038/ https://doi.org/10.1080/02664763.2015.1100594 https://repository.essex.ac.uk/15038/1/Reviewed_paper.pdf |
| رقم الانضمام: | edsbas.C58B5E90 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1080/02664763.2015.1100594 |
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