Recruitment Job Talk with Brandon Stewart

DateNovember 20, 2014

Time12:00pm to 1:30pm

Location
4357 Bunche Hall

Contact

Presenter:Brandon Stewart, Harvard University*** Joint Recruitment Search with UCLA Department of Statistics ***Title: “Modeling Social Science Heterogeneity with Latent Factor Regressions”Abstract:In this work, I present a general framework for regression in the presence of complex dependence structures between units such as in time-series cross-sectional data, relational/network data, and spatial data.  These types of data are challenging for standard multilevel models because they involve multiple types of structure (e.g. temporal effects and cross-sectional effects) which are interactive.  I show that interactive latent factor models provide a powerful modeling alternative that can address a wide range of data types.  Although related models have previously been proposed in several different fields, inference is typically cumbersome and slow. I introduce a class of fast variational inference algorithms that allows for models to be fit quickly and accurately.

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