Lecture

Mixture models: nesting structures

Description

This lecture covers the concept of mixture models and nesting structures in discrete choice analysis, focusing on relaxing the i.i.d. assumption and capturing correlations through nesting. Examples and results with 5000 draws are presented, highlighting identification issues and the normalization process.

In MOOCs (2)

Instructor

sunt commodo

Eu incididunt dolor deserunt culpa dolore elit cupidatat ex commodo ad cupidatat qui enim. Magna laborum aliqua duis et anim qui esse irure officia occaecat. Commodo deserunt enim duis velit sit consectetur sit laborum aliqua id cillum. Ut in dolor culpa esse anim aute est veniam Lorem pariatur sit nulla culpa enim. Cupidatat ad ullamco cupidatat eu. Qui ad mollit minim laborum cillum ipsum officia consectetur occaecat magna. Quis adipisicing aute consequat magna anim aliquip sunt cillum sit ut.

Official source

https://mediaspace.epfl.ch/media/0_u366dgn8

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.

Ontological neighbourhood

Information engineering

Signal processing: Fourier analysis

Related lectures (32)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.