CSSS 510
Maximum Likelihood Methods for the Social Sciences
Introduces maximum likelihood, a more general method for modeling social phenomena than linear regression. Topics include discrete, time series, and spatial data, model interpretation, and fitting. Prerequisite: POL S 501/CSSS 501 and POL S 503/CSSS 503. Offered: jointly with POL S 510.
Topics
- discrete
- time series
- and spatial data
- model interpretation
- and fitting
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗Current public catalogue; retrieved 2026-11-05