2020 applicants
Event

Jeff Gill: Models for Identifying Substantive Clusters and Fitted Subclusters in Social Science Data

  • Tue 15 Oct 19

    14:30 - 16:00

  • Colchester Campus

    5S.4.19

  • Event speaker

    Jeff Gill

  • Event type

    Lectures, talks and seminars
    Speaker Series

  • Event organiser

    Government, Department of

  • Contact details

    Filip Kostelka

Jeff Gill: Models for Identifying Substantive Clusters and Fitted Subclusters in Social Science Data

Unseen grouping, often called latent clustering, is a common feature in social science data.  Subjects may intentionally or unintentionally group themselves in ways that complicate the statistical analysis of substantively important relationships.

This work introduces a new model-based clustering design which incorporates two sources of heterogeneity.  The first source is a random effect that introduces substantively unimportant grouping but must be accounted-for.

The second source is more important and more difficult to handle since it is directly related to the relationships of interest in the data.  We develop a model to handle both of these challenges and apply it to data on terrorist groups, which are notoriously hard to model with conventional tools.

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