Bingqing Li

Convergence and Optimality of the EM Algorithm Under Multi-Component Gaussian Mixture Models

Gaussian mixture models are fundamental statistical tools for modeling heterogeneous data. Due to the nonconcavity of the likelihood function, the Expectation-Maximization (EM) algorithm is widely used for parameter estimation of each Gaussian component. Existing analyses of the EM algorithm’s convergence to the true...