Lecture

Mixture Models: Simulation-based Estimation

Description

This lecture covers mixture models, including their definition and examples, such as discrete and continuous mixtures. It explores the concept of mixtures of logit models and the simulation-based estimation of parameters. The instructor discusses the motivation behind using mixture models to capture the complexity of heterogeneous populations and taste heterogeneity.

Official source

https://mediaspace.epfl.ch/media/0_72drxg9l

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Data analysis: Regression analysis

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