Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Lecture
Heteroscedasticity: Modeling Scale Parameters
Description
This lecture discusses heteroscedasticity in nonlinear specifications, focusing on the variance of error terms across different groups in the population. The instructor explains the motivation behind heteroscedasticity, the assumptions made, and models the scale parameters to account for the varying variances. The lecture also covers the utility function modeling and the estimation of unknown parameters from data.
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.