Sequential Change-point Detection in Stochastic Differential Equations
Offered By: Fields Institute via YouTube
Course Description
Overview
Explore sequential change-point detection in stochastic differential equations through this 48-minute seminar presented by Yunhong Lyu from Université de Montréal as part of the MfPH Next Generation Seminar Series at the Fields Institute. Delve into advanced mathematical concepts and their applications in detecting critical shifts within complex stochastic systems.
Syllabus
Sequential Change-point Detection in Stochastic Differential Equations
Taught by
Fields Institute
Related Courses
Introduction to Statistics: ProbabilityUniversity of California, Berkeley via edX Aléatoire : une introduction aux probabilités - Partie 1
École Polytechnique via Coursera Einführung in die Wahrscheinlichkeitstheorie
Johannes Gutenberg University Mainz via iversity Combinatorics and Probability
Moscow Institute of Physics and Technology via Coursera Probability
University of Pennsylvania via Coursera