Newsroom
Bayesian
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FDS Colloquium: Emma Zang (Yale), “Harnessing AI and Digital Data: Unlocking New Frontiers in Family Research”
Abstract: AI and digital data have been increasingly used to explore a wide range of social science topics, yet their potential in family research remains largely untapped. I will present two of my projects that leverage these tools to offer new insights into family dynamics. The first project, Remote Work and Utilization of Formal Childcare Services, uses anonymized…
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S&DS Seminar: Adityanand Guntuboyina (Berkeley), “Multivariate nonparametric regression using mixed partial derivatives”
Information and Abstract: I will describe methods for multivariate nonparametric estimation based on constraining mixed partial derivatives. The resulting estimators are efficiently computable and work well in practice. They are also theoretically attractive when the underlying assumptions are satisfied, achieving rates of convergence that avoid the usual curse of dimensionality. Specific examples of this methodology include: MARS via LASSO,…