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Graduate Program
Graduate Program 2023
, Random-Effects-, and “Hybrid” Models for Panel Data Lecturer: Birgit Zeyer-Gliozzo The short course focuses on the analysis of panel data (i.e., data on the same unit, such as individuals or households [...] 2023. This program is primarily for doctoral students in the social sciences, but also post-docs and doctoral students of other sciences are welcome. The lectures will take place during the summer break [...] application in social and behavioral science. Learning goals include (i) understanding core concepts of supervised machine learning and their implication for data analysis, (ii) advantages and limitations …