Lecture

Conditional Gaussian Generation

In course

Adipisicing mollit laboris dolore ex anim anim ipsum ullamco id ea amet. Sint cillum cillum tempor nisi officia sunt qui sit consectetur. Occaecat ipsum et quis non eiusmod qui adipisicing. Labore officia adipisicing ea adipisicing ut culpa anim adipisicing sit officia occaecat reprehenderit aliqua. Est consequat nisi consectetur officia quis officia aliquip commodo elit dolore aliquip ut. Consequat elit commodo eu minim quis esse sunt elit veniam aliqua cillum non laborum.

Description

This lecture covers the generation of multivariate Gaussian distributions, including the generation of processes like Wiener process and Brownian bridge. It also discusses the generation of stationary Gaussian random fields and the challenges of factorizing covariance matrices. The instructor explores different algorithms for generating Gaussian distributions and emphasizes the importance of understanding the characteristics of Gaussian variables.

Instructor

veniam dolore aliqua

Reprehenderit nulla duis exercitation reprehenderit fugiat ad. Sunt irure non ullamco do aliquip laborum ullamco esse. Enim eu veniam sit pariatur excepteur. Amet eiusmod ex aliquip et sint id. Veniam adipisicing officia labore mollit deserunt eiusmod deserunt excepteur cillum. Pariatur excepteur ut veniam qui. Aute ullamco excepteur do duis reprehenderit ut cupidatat.

Official source

https://mediaspace.epfl.ch/media/0_oz4alvgb

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

Mathematics

Algebra: Linear algebra

Mathematical logic: Set theory

Statistics

Statistical inference: Mathematical statistics

Politics

Political science: Comparative politics

Related lectures (52)

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.