Lecture

Elements of Statistics: Memorylessness, Stationary Processes, Estimation using MLE

Description

This lecture covers key concepts in statistics, starting with the demonstration of memorylessness in the exponential distribution. It then delves into the analysis of stationary processes, showcasing the wide sense stationary condition and ergodicity. Finally, the Maximum Likelihood Estimation method is explained through practical examples involving single-photon detectors and time-to-digital converters.

This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.

Watch on Mediaspace
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.