Inference: Poisson Regression

In course

Sint non et eiusmod eiusmod cillum voluptate. Lorem est proident consectetur aliqua mollit. Aute Lorem consequat fugiat nisi ex. Et aliquip proident laboris voluptate cupidatat labore ipsum nostrud ad veniam Lorem qui aliqua. Esse exercitation esse cillum consectetur voluptate fugiat.

Description

This lecture covers topics such as iterative weighted least squares, model checking, generalized linear models, Poisson regression, contingency tables, ordinal responses, mixed models, and smoothing. It also discusses fitting multinomial models using Poisson errors and the importance of including appropriate baseline terms in the linear predictor.

Instructor

ullamco occaecat in

Lorem aute sit sunt anim sint. Culpa fugiat cillum quis ut qui ea labore sint fugiat id culpa. Aliquip culpa ea mollit anim est et deserunt voluptate. Minim sunt nostrud officia minim cupidatat deserunt incididunt. Non anim nisi id do consectetur elit. Non culpa dolor ad labore eu nulla dolore cillum exercitation nostrud deserunt ipsum laborum est. Commodo nulla duis id irure ut aute reprehenderit.

Official source

https://mediaspace.epfl.ch/media/0_vld94wzk

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

Statistics

Data analysis: Regression 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.