Bayes Estimator, Simulated Annealing and EM

In course

Incididunt ullamco ex irure ad elit. Incididunt velit incididunt exercitation esse velit tempor incididunt est minim culpa eu in aute ex. Esse eu in exercitation reprehenderit amet reprehenderit cupidatat est voluptate laboris mollit. Aliqua ad deserunt sint voluptate anim. Quis eu excepteur tempor id. Ullamco laborum eiusmod commodo irure qui deserunt laborum ullamco irure deserunt fugiat enim pariatur cupidatat.

Description

This lecture covers the concepts of Bayes estimator, Simulated Annealing, and Expectation Maximization. It explains how to compute averages from the MCMC, obtain the MMSE estimator, and perform EM for parameter estimation. The lecture also discusses the annealing schedule and the optimization procedure of Simulated Annealing.

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

Instructor

eiusmod Lorem

Minim sint id consequat reprehenderit id veniam eiusmod irure aute non labore. Laborum culpa aliqua proident dolore duis non exercitation commodo ex quis nostrud mollit eiusmod ad. Incididunt sunt exercitation exercitation consectetur cillum irure mollit. Irure nisi quis do elit ipsum eu. Ullamco magna eu occaecat proident.

Official source