Teaching
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Harvard University: Government 2003, Bayesian Hierarchical Models
Semester: Spring
Year offered: 2018
Course Description:
This course covers Bayesian statistical model development with explicitly defined hierarchies. Such multilevel specifications allow researchers to account for different structures in the data and provide for the modeling of variation between defined groups. The course begins with simple nested linear -
Teaching Datasets
hpd.gamma function in R
state.short.dat dataset
pbm.pim2.dat dataset
Multivariate normal code
North Carolina dataset
Trauma dataset
Indomethacin dataset
Dogs dataset