Random effects logistic regression models are often used to model clustered binary response data. Regression parameters in these models have a conditional, subject-specific interpretation in that they ...

Marginal and conditional likelihoods are illustrated on various problems that have occurred in the literature. They can thus be compared with the more conventional exact and asymptotic procedures that ...

Probability, statistics, and decision theory. Discrete and continuous random variables, stationary, seasonality, autocorrelation/power-spectrum computation for ...

This course is available on the BSc in Data Science, BSc in Mathematics with Data Science and BSc in Mathematics, Statistics and Business. This course is available as an outside option to students on ...