Clustering longitudinal life‐course sequences using mixtures of exponential‐distance models

@article{Murphy2021ClusteringLL,
  title={Clustering longitudinal life‐course sequences using mixtures of exponential‐distance models},
  author={Keefe Murphy and Thomas Brendan Murphy and Raffaella Piccarreta and Isobel Claire Gormley},
  journal={Journal of the Royal Statistical Society: Series A (Statistics in Society)},
  year={2021}
}
Sequence analysis is an increasingly popular approach for analysing life courses represented by ordered collections of activities experienced by subjects over time. Here, we analyse a survey data set containing information on the career trajectories of a cohort of Northern Irish youths tracked between the ages of 16 and 22. We propose a novel, model-based clustering approach suited to the analysis of such data from a holistic perspective, with the aims of estimating the number of typical career… Expand

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