YoVDO

Path Convergence of Markov Chains on Large Graphs

Offered By: International Centre for Theoretical Sciences via YouTube

Tags

Markov Chains Courses Data Analysis Courses Graph Theory Courses Stochastic Processes Courses Probability Theory Courses Financial Modeling Courses Random Graphs Courses Interacting Particle Systems Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Related Courses

Social Network Analysis
University of Michigan via Coursera
Intro to Algorithms
Udacity
Data Analysis
Johns Hopkins University via Coursera
Computing for Data Analysis
Johns Hopkins University via Coursera
Health in Numbers: Quantitative Methods in Clinical & Public Health Research
Harvard University via edX