Lecture
Mixture models: summary
Description
This lecture provides a summary of mixtures of logit models, explaining the concept of using building blocks like logit models and convex combinations to create more sophisticated models. It covers continuous and discrete mixing, Monte-Carlo integration, relaxing i.i.d. assumptions, taste heterogeneity, and latent class models. The instructor emphasizes the importance of careful modeling and the systematic part of the utility function.
Official source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.