Bivariate Poisson Regression with Expectation-Maximisation
Modeling correlated count data using bivariate Poisson regression with EM algorithm. Handle overdispersion and correlation in count models.
Python
MIP Knights
Solving the knight’s tour problem using Mixed Integer Programming. Explore combinatorial optimization with constraint programming techniques.
Huber Regression
Robust regression using Huber loss function. Handle outliers and improve model stability with robust statistical methods.
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.