Path Convergence of Markov Chains on Large Graphs
International Centre for Theoretical Sciences via YouTube
Learn AI, Data Science & Business — Earn Certificates That Get You Hired
Earn Your CS Degree, Tuition-Free, 100% Online!
Overview
Google, IBM & Meta Certificates – 40% Off
One plan covers every Professional Certificate on Coursera.
Unlock All Certificates
Explore the intricacies of path convergence in Markov chains on large graphs in this comprehensive lecture by Siva Athreya from the International Centre for Theoretical Sciences. Delve into the world of network science, probability theory, and graph theory as part of the NETWORKS program, a 10-year initiative funded by the Dutch Ministry of Education, Culture and Science. Gain insights into structural properties of random graphs, dynamics on networks, interacting particle systems, and algorithmic aspects of networks. Discover how these concepts apply to real-life scenarios in finance, large data set analysis, rare event modeling, and social networks. Engage with cutting-edge research presented by leading experts in the field, fostering collaboration between Dutch and Indian scientists in probability and statistics.
Syllabus
Path Convergence of Markov Chains on Large Graphs by Siva Athreya
Taught by
International Centre for Theoretical Sciences