EM algorithm "non-normative" likelihood: several examples

Lecturer: Duan Xiaogang

Abstract: The definition and basic properties of EM algorithm under the likelihood framework are briefly described. Then, the specific implementation of EM algorithm is given by combining the observation data and statistical model characteristics of application scenarios.

Time：15:00 pm -16:00 pm, 12 December 2018 (Wednesday)

Location：Room 104, Office Building of School of Statistics