Applied Probability and Stochastic Processes
Applied Probability and Stochastic Processes
This course is intended for doctoral students and discusses topics in applied probability. This includes a variety of fields, namely statistical physics (local weak convergence and correlation decay), artificial intelligence (belief propagation algorithms), computer science (random K-SAT problem, coloring, average case complexity) and electrical engineering (low density parity check (LDPC) codes).
Duration: Not defined
Level: Graduate
Certification: No
Cost: Free
Language: English
Type: Self-Paced
Please note: these courses are provided by external sources, links are not actively managed or regularly updated, content might be moved or unavailable.
