[gov3009-l] Applied Statistics 4/25

Hi everyone! This week (the last meeting of the semester!) at the Applied Statistics Workshop we will be welcoming *Jeff Gill*, Professor of Statistics and Government at American University. He will be presenting work entitled *Models for Identifying Substantive Clusters and Fitted Subclusters in Social Science Data*. Please find the abstract below and on the Applied Stats website here <https://projects.iq.harvard.edu/applied.stats.workshop-gov3009>. As usual, we will meet at noon in CGIS Knafel Room 354 and lunch will be provided. See you all there! -- Dana Higgins *Title:* *Models for Identifying Substantive Clusters and Fitted Subclusters in Social Science Data * *Abstract:* Unseen grouping, often called latent clustering, is a common feature in social science data. Subjects may intentionally or unintentionially 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.