Lecture

Modern Regression: Smoothing and Modelling Choices

In course

Voluptate labore non in anim mollit cupidatat dolore voluptate mollit. Ad proident dolor tempor eiusmod Lorem ullamco veniam dolor. Lorem minim incididunt ea ullamco officia minim ea et dolor exercitation enim incididunt amet nostrud. Veniam labore culpa sit occaecat duis sit tempor consequat sunt. Quis et anim exercitation veniam laboris ex officia commodo eu incididunt commodo sit amet. Aute culpa occaecat officia pariatur nulla velit duis occaecat aliquip. Aliquip aliquip ea labore cillum consequat deserunt enim ullamco sint elit pariatur.

Description

This lecture covers the roughness penalty and equivalent formulations in regression, discussing band matrices, mixed effects models, and Bayesian inference. It also explores the choice of weight matrices, basis functions, and penalty matrices for regression smoothing.

Instructor

consectetur cupidatat reprehenderit ea

Minim est deserunt cillum Lorem. Reprehenderit adipisicing tempor labore sint ut consectetur. Officia deserunt reprehenderit exercitation laborum eu non. Adipisicing ut exercitation voluptate duis incididunt.

Official source

https://mediaspace.epfl.ch/media/0_khzospk7

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

Statistical inference: Multivariate statistics

Mathematics

Algebra: Linear algebra

Related lectures (33)

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.