Lecture

Statistical Theory: Decision Theory Framework

Description

This lecture covers the Decision Theory Framework in Statistical Theory, where statistics is viewed as a random game with Nature and a statistician playing. It discusses point estimation, interval estimation, and hypothesis testing within this framework, exploring concepts like admissibility, inadmissibility, minimax rules, Bayes rules, and randomized rules.

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.