Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

From Rank-Based Models with Common Noise to Pathwise Entropy Solutions of SPDEs

Fields Institute via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a thought-provoking lecture by Lane Chun Yeung from Carnegie Mellon University, delivered at the Fields Institute on September 26, 2024. Delve into the intriguing connection between rank-based models with common noise and pathwise entropy solutions of Stochastic Partial Differential Equations (SPDEs). Gain insights into this complex mathematical topic as the speaker presents their research findings and methodologies in this concise 23-minute talk.

Syllabus

From rank-based models with common noise to pathwise entropy solutions of SPDEs

Taught by

Fields Institute

Reviews

Start your review of From Rank-Based Models with Common Noise to Pathwise Entropy Solutions of SPDEs

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.