A Medley of Mixtures

John Hinde (NUI Galway, Republic of Ireland)

G.207,

Mixture models have now become an important tool in statistical modelling, with the EM algorithm being an important driver in their popularization and applicability. This talk will discuss a range of different mixture models and their use in addressing specific applied problems. Examples discussed will include: mixtures of non-linear regression models for fish growth studies; mixtures of smooth curves for clustering time-course microarray data; mixture orthogonal regression models for sugarcane SNP data; regression mixture models for outlier detection/accommodation; finite mixture approaches for random effect models with applications in entomology.

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