Lecture

Nonparametric Statistics: Bayesian Approach

Description

This lecture covers non-parametric statistics, focusing on topics such as kernel density estimation, bandwidth selection, and asymptotic risk. It also delves into Bayesian statistics, discussing concepts like posterior distribution, point estimation, and credible intervals. The instructor provides insights on linear regression, including the least squares method and model assumptions.

Official source

https://mediaspace.epfl.ch/media/0_u7tw5z6t

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.

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.