This lecture delves into the concept of mixture models focusing on individual-level parameters in discrete choice scenarios. The discussion covers the distribution of taste parameters in the population, the derivation of B distribution, Bayes theorem application, and the calculation of expected values. The lecture concludes with a simulation example and references relevant literature.