Instructor: Michael Tzen Content: This 1 hour workshop will provide a sampling of introductory concepts for bayesian analysis. We will use Bayes Rule (and its implications) to think about data analysis. When used as a framework to model phenomenon, the analyst gets to work with 4 useful distributions: the prior, posterior, prior predictive, & posterior […]
Instructor: Michael Tzen, CCPR UCLA Abstract: This workshop is a brown bag forum. Participants are encouraged to bring in tangible questions they wish to explore using R. To serve as a background road map, the instructor will provide an abbreviated sample of what he thinks are the most useful features of R. However, the […]
Instructor: Ian Lundberg, Ph.D. Student, Sociology and Social Policy, Princeton University Abstract: The Fragile Families Challenge is a scientific mass collaboration that combines predictive modeling, causal inference, and in-depth interviews in order to learn more about the lives of disadvantaged children. Fragile Families Challenge builds on the Fragile Families and Child Wellbeing Study that has […]