17.804 Quantitative Research Methods III: Generalized Linear Models and Extensions
Provides a survey of statistical tools for model-based inference in political science and public policy. Topics include generalized linear models for various data types and their extensions, such as discrete choice models, survival outcome models, mixed effects and multilevel models. Covers both frequentist and Bayesian approaches.
This class has 17.802 as a prerequisite.
17.804 will be offered this semester (Fall 2017). It is instructed by T. Yamamoto.
Lecture occurs 3:30 PM to 5:00 PM on Mondays and Wednesdays in E53-438.
This class counts for a total of 12 credits.
You can find more information at the http://www.google.com/search?&q=MIT+%2B+17.804&btnG=Google+Search&inurl=https site or on the 17.804 Stellar site.
© Copyright 2015 Yasyf Mohamedali