Bivariate Poisson Regression with Expectation-Maximisation
Modeling correlated count data using bivariate Poisson regression with EM algorithm. Handle overdispersion and correlation in count models.
Em-Algorithm
The EM Algorithm Part 2: Censored Linear Regression
Part 2: Applying EM algorithm to censored linear regression. Handle missing data and truncated observations in statistical modeling.
The EM Algorithm Part 1: Gaussian Mixture Models
Part 1: Introduction to EM algorithm with Gaussian Mixture Models. Learn expectation-maximization for unsupervised clustering and density estimation.