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The HRD-Algorithm: A General Method for Parametric Estimation of Two-Component Mixture Models
Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics. (Patrik Rydén)
2017 (English)In: Lecture Notes in Computer Science, ISSN 978-3-319-71504-9, Vol. 10684, p. 497-508Article in journal (Refereed) Published
Abstract [en]

We introduce a novel approach to estimate the parameters of a mixture of two distributions. The method combines a grid approach with the method of moments and can be applied to a wide range of two-component mixture models. The grid approach enables the use of parallel computing and the method can easily be combined with resampling techniques. We derive the method for the special cases when the data are described by the mixture of two Weibull distributions or the mixture of two normal distributions, and apply the method on gene expression data from 409 ER+" role="presentation" style="box-sizing: border-box; display: inline-table; line-height: normal; letter-spacing: normal; word-spacing: normal; word-wrap: normal; white-space: nowrap; float: none; direction: ltr; max-width: none; max-height: none; min-width: 0px; min-height: 0px; border: 0px; padding: 0px; margin: 0px; position: relative;">ER+ER+ breast cancer patients.

Place, publisher, year, edition, pages
2017. Vol. 10684, p. 497-508
National Category
Natural Sciences
Research subject
Mathematical Statistics
Identifiers
URN: urn:nbn:se:umu:diva-144646DOI: 10.1007/978-3-319-71504-9_41OAI: oai:DiVA.org:umu-144646DiVA, id: diva2:1181482
Conference
Analytical and Computational Methods in Probability Theory. ACMPT 2017.
Funder
Swedish Research Council, 340-2013-5185Available from: 2018-02-08 Created: 2018-02-08 Last updated: 2018-02-08

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CiteExportLink to record
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Citation style
  • apa
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  • Other style
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  • de-DE
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  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
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